Question: Create confidence intervals related to the interval and ratio-level data you collected. What is the best estimate of the population mean Develop a 95% confidence

Create confidence intervals related to the interval and ratio-level data you collected.

  1. What is the best estimate of the population mean
  2. Develop a 95% confidence interval for the population mean. Develop a 90% confidence interval for the population mean. Develop a 98% confidence interval for the population mean.
  3. Interpret the confidence interval.

Create confidence intervals related to theCreate confidence intervals related to the
MIME-Version: 1.0 Content-Type: multipart/related; type="text/html"; boundary="----=_NextPart_000_0000_01D61D54.191D5760" X-MimeOLE: Produced By Microsoft MimeOLE This is a multi-part message in MIME format. ------=_NextPart_000_0000_01D61D54.191D5760 Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: 7bit Capture ------=_NextPart_000_0000_01D61D54.191D5760 Content-Type: image/bmp Content-Transfer-Encoding: base64 Content-ID: iVBORw0KGgoAAAANSUhEUgAABQwAAAJaCAYAAABqagpmAAAAAXNSR0IArs4c6QAAAARnQU1BAACx jwv8YQUAAAAJcEhZcwAAEnQAABJ0Ad5mH3gAAJxESURBVHhe7b0/jwTNdt43H0eBkgsKDOYTKGR2 bVqATRgc/wEMwX8gGISBKwoWwETC5DdhIgMSmNnYgBkTpUyYCBspUmibskSJFDnuqurTXVVdVd2z u7U7Xc/vBxzed6a7q7vPc57q6rPzvrw8AAAAAAC+mT/7sz+b/wkUQX9d0L4P5BUMaqEPinmlYQhw hLfb43K9P97nj6fk1Pfw/rhfL4/b2/zxp6jm8EWuD07Efs2836+Py+WyBPUFo8ELjTborwva94G8 gkEt9EExrzQM4fS83dYX6hC3x5e/V39Rs803AH7qrZ+G4efp2DD80dr4AGe73jpBu2pDzmnu5pUv 985ezbw9bvE5/XVcH/dzGhigCC802qC/LmjfB/IKBrXQB8W80jCE0+MahtfoLTr8KueLm4Y0DH8Y GoavxmgNw+t1up+Ctm5+ud16eOfZmnl73GpNTYCTwguNNuivC9r3gbyCQS30QTGvNAzh9OQNw/TF 2v3z9XG/u1xL8+DC/r1V8lvt8f12XbfPzSMCi86OeNpOR4t29+vvyaZ/yviNL9lqbMZszwdfUe m/fgaOcgNF6j4zeX645334d8b/fby9OR67bjbazauSaq+XGbavfSzsF+Do0D11c9V/59qI1NQ87X Rnx94VzrLjv30tx+5PpTNtdXzf/e2LZ9/ujY9dP8vc/BrIvfdnvc3C+Ok8HC+EW/eeLry+7Zn3fK 0yeux28q7v9kzr3+je0AJ4QXGm3QXxe07wN5BYNa6INiXmkYwunZNAz9y7m9WNvL+LY5EjcVQkPJ 9skbDPMYS8PAXvT9h8CmEZYdP2/bNFkS3HFrQyDddx3D4bdl5yvdY/0epm+yxkoypjVK/JYacx7z a87yuJen9LrDd9vcbc+VXr/tFzh6L80czOds5XBlLxd755o/x8nKrvv9fntc43xm2/fGP3Kv9fxu Sa+3kf/dscP25FR5nVTHnjWJ9fWNtehzMh+UWM/vrmvVez5X2PDx65m/e76mA358P2aWI4AB4IVG G/TXBe37QF7BoBb6oJhXGoZwevKXfP/Snb3AJy/axQaS229+cS9tTxoGOw2OvGERsTQgSuTnTc6Z kex78B7j8fz2vImS52CvQVHIQzzGXp5K113N3d5YGfH91+7lUA4aOUzYycXeuSa2tRHnx40/Xct0 fqv1ZP9D99I6/5P5nThey3tjf0LbJEdG+l3zOj3R+d15k7Hn/HzmepIxYw7et/uuef0A54UXGm3Q Xxe07wN5BYNa6INiXmkYwunxDcLpJX2J5IX76At8rWkwk7zI77zoJ/umtJsXUYPCfcp+beSPje/z 2SZFfF2+yRGPZRE1laJ94obsSiEPybXsNUQq113M3X5zpZ6fidK97OVgL4cJO7k4kO9SbazN8Gks t82N48+fnW9v/N3z7+c3J7/eev73xv6MtoUamlivLR07Had0fdF48TV85nqqeTyYc/ddshPAOPBC ow3664L2fSCvYFALfVDMKw1DOD35LwxTCi/wvnmSNYL8fnFzJduevMjvvOi7f96MH1gbGQU2TZ1o jHzM5BoP3mN8jcUc1CiM7ynkwe97tAlVGLeauydzXr2/6Jx7OdjLYcJOLg7ku1gbdr7pf0ONu/O4 Md3YR+53Zvf8e1ptSa63mf+9sT+jbaGGHLbP7n070vPbfSXzymeuJ99/4fmcA4wGLzTaoL8uaN8H 8goGtdAHxbzSMITT83TDcH5Rj5szvkmwvKiHY5YxfUNg2j96kU9+/bfZnh3vPs/b0vNkuGZBeqEr WdPBn7/VpMivYXONIQf1vMUUGhueOY9Lg3B7f0fy1Lxu99nvv9NcaeYnJh5nLwd7OYzZy8XeufL9 DXcN18ftNsV8M+7e/P/X3iQZe+Mf217Nb4FE22b+98du1klz7FINOcI5feN9uzEjuz47f1w/8fU+ fT1ZHbnPfqxjOW/OGQAnhxcabdBfF7TvA3kFg1rog2JeaRjC6XEv7PVGSK2hEL5ffs2Xv5AvTYO5 GeA+J/vEx0/b8xf95Pi1iRR/X7rm0HyIIhoz3na936fzt5oUE7v3EDVVLGy7b4pE328TOGENjywX 89ZAK09Hrttyt99cqeaneS+NHDh2c2i4caZrfcv2n7cGjp8rro20ITUx389Wkp3xm9vDtlZ+A3Wt 6/V5ZOxWnbTGrtTQhG+0Vbal5Nc35yk+8LPX88GadtAwhJHhhUYb9NcF7ftAXsGgFvqgmFcahgAv Qqkx4BoT9WboT1NoeAC8Cq75ljU1AeC14IVGG/TXBe37QF7BoBb6oJhXGoYAL4L/1VLSfQsNORqG AM+z9RMAvBq80GiD/rqgfR/IKxjUQh8U80rDEOBlmP9VyOVfXXzlZqGDhiG8KvV/VRkAXgdeaLRB f13Qvg/kFQxqoQ+KeaVhCAAAAADfDi802qC/LmjfB/IKBrXQB8W80jAEAAAAgG/HLbwJgiAIgiCI 1wwahgAAAADw7biFKOiC/rqgfR/IKxjUQh8U80rDEAAAAAC+HV5otEF/XdC+D+QVDGqhD4p5pWEI AAAAAN8OLzTaoL8uaN8H8goGtdAHxbzSMAQAAACAb4cXGm3QXxe07wN5BYNa6INiXmkYAgAAAMC3 wwuNNuivC9r3gbyCQS30QTGvNAwBAAAA4NvhhUYb9NcF7ftAXsGgFvqgmFcahgAAAADw7fBCow36 64L2fSCvYFALfVDMKw1DAAAAAPh2eKHRBv11Qfs+kFcwqIU+KOaVhiEAAAAAfDu80GiD/rqgfR/I KxjUQh8U80rDEAAAAAC+HV5otEF/XdC+D+QVDGqhD4p5pWEIAAAAAN8OLzTaoL8uaN8H8goGtdAH xbzSMAQAAACAb4cXGm3QXxe07wN5BYNa6INiXmkYAgAAAMC3wwuNNuivC9r3gbyCQS30QTGvNAwB AAAA4NvhhUYb9NcF7ftAXsGgFvqgmFcahgAAAADw7fBCow3664L2fSCvYFALfVDMKw1DAAAAAPh2 eKHRBv11Qfs+kFcwqIU+KOaVhiEAAAAAfDu80GiD/rqgfR/IKxjUQh8U80rDEAAAAAC+HV5otEF/ XdC+D+QVDGqhD4p5vbibJgiCIAiCIAiCIAiCIAiCcCH3C0N306AJ2o8FeuqC9mOBnrqgvTborwva 94G8gkEt9EExrzQMQQa0Hwv01AXtxwI9dUF7bdBfF7TvA3kFg1rog2JeaRiCDGg/FuipC9qPBXrq gvbaoL8uaN8H8goGtdAHxbzSMAQZ0H4s0FMXtB8L9NQF7bVBf13Qvg/kFQxqoQ+KeaVhCDKg/Vig py5oPxboqQvaa4P+uqB9H8grGNRCHxTzSsMQZED7sUBPXdB+LNBTF7TXBv11Qfs+kFcwqIU+KOaV hiHIgPZjgZ66oP1YoKcuaK8N+uuC9n0gr2BQC31QzCsNQ5AB7ccCPXVB+7FAT13QXhv01wXt+0Be waAW+qCYVxqGIAPajwV66oL2Y4GeuqC9NuivC9r3gbyCQS30QTGvNAxBBrQfC/TUBe3HAj11QXtt 0F8XtO8DeQWDWuiDYl5pGIIMaD8W6KkL2o8FeuqC9tqgvy5o3wfyCga10AfFvNIwBBnQfizQUxe0 Hwv01AXttUF/XdC+D+QVDGqhD4p5pWEIMqD9WKCnLmg/FuipC9prg/66oH0fyCsY1EIfFPNKwxBk QPuxQE9d0H4s0FMXtNcG/XVB+z6QVzCohT4o5pWGIciA9mOBnrqg/Vigpy5orw3664L2fSCvYFAL fVDMKw1DkAHtxwI9dUH7sUBPXdBeG/TXBe37QF7BoBb6oJhXGoYgA9qPBXrqgvZjgZ66oL026K8L 2veBvIJBLfRBMa80DEEGtB8L9NQF7ccCPXVBe23QXxe07wN5BYNa6INiXi/uppXiX/3rPycIgiAI giAI4oejtFYnCIIgCOI1Qu4XhqXFCvH68X/80f/56SiNSxAEQRAEQfxMgCbuJRS+HvIKBrXQB8W8 0jAkThGu4fc3k34fDRqGBEEQBEEQrxWgCc2MPpBXMKiFPtAwFKC0WCFeP3zD8G/+5sNBw5AgCIIg COK1AjShmdEH8goGtdAHGoYClBYrxOuHa/j99V//zYeDhiFBEARBEMRrBWhCM6MP5BUMaqEPNAwF KC1WzhF/9Pjl5fK4/MYfPP64uH0v/vTxe78xHX/5ncevi9tfO1zD7z/9p7/+cJyrYWha/aRedg2/ +fi9PyltJ44HeuoG2o8V6KkbaN8rQBOaGX0gr2BQC32gYShAulCZm3BZ/PIP4316xEeafzQM/+qv /vrDUWwY/skfPH4R6f6LX/3pdp8fiD/+1W8eqMP45cXiK18iPvdiYvewxG//0br9D38n2Zbk/TOa oGcjOurZyvt3aYL2jfic9i4W/QvPn1//duW68XIUJ9ETL1cDL6/bvloT0IRmRh/IKxjUQh9oGAqQ LlTyJtznF2PHgobhs+Eafn/5V//pw7FpGNoCONH+NXKz+2KyNNyy6/X39FX38AkvzNdnLxX2EuLv x21bmk12jnmbaTJvT46zsWuBnjvRSc+WZp/R85lA+534hPaRR31kz5+gaeE6P6M9eu5EJz1bmn1G z2cC7Xeik/ZTdPHywQBNaGb0gbyCQS30gYahAOlCZduE2y6G5n2WsIVaYeGWvVhvF78WjebfsugM sf4ldz3m9+ZrdJEu2rIFYbKotG3rgtDu1ce8GHzVcA2///CXf5XEP/rHf7DEr37/f3/83v/2q8f/ /A/+18f/8Pf/x82+m4ah5bl039kCeaP1vP0Xv/qjJN9Oizin9QV1raYyTVzUamfvBWS5xj9I96/W V7Ztekn7ZV7fzfpaw16sbOzWi1a872a/lkZ5oKeP79azpdmn9Hwm0N5HD+3DuadtfzjnMb6H5bqi 886Bl+Pvs3hRPfEyXn7Oy9NaNL+Wedsyjmm2yVcaoAnNjD6QVzCohT7QMBQgXajMi7xlMZMv+vLP 6QI1X0jZ52W8fPG0RH7eOdziavnOzpVfi50vWyxv9rdFbn7t8+fs2v74V79TXmS+SLiG31/8x7/a xK/+0T9OGoW3//a/L+5X/YVhTQf3/c6Lyfaz5TOvmzjaNeX22SzQ41gW6zsvatE1LeO47/bqK6vd 4/UVR1Sr04uRv448x3PYi5i7xvif/faNDo2I7hc93efv0bOl2af0fCai3KC9+/yV2s9h1xDndx73 F78xP/ei7Xi5sN0iuqZX0hMvx9u0tP+ol/Oc2Of8ekP+5+MLAZrQzOgDeQWDWugDDUMB0oWKLRKj KC2iosWOLYj8d9HCyRZuv/xtd0xYrIV91wXnGtkisBJhoWbHb49JFmvJtcxjzNcfFnPZwtIWnjvX 8CrhGn7//i/+shj/0//yDx6/+9/8d4//8r/6r4vbXWwahi4sZxaWi00us5cH277krrZoL2i/V1PR 52WBHkd+fH4Pdg2ba9xGco2b66rcc7W+8ki91boXu8bWi8nm2FLkuUDP7nq2NPu0ns9Enje0/0Lt pyhcQ+1e3edPa5Aj2j6+qjZ0uzT+v5TNjYFmjfXfvavbrPTe2T84drO7YGTgM0oZnRB/IKBrXQ BxqGAqQLlbQJ11o0LcckC7h58eaPd2NNCyP/r3uEBZJfaBUXhtvmn4Utztawxdb2mOT65usqRVjo 1RbPFuv3rxiu4ffv/v1fVuM/+8//i+L3FsWGoYUteqfwudwswiuL9EWLWm63C+X9mlr3ab2YJC8I Pqyhk72YZPvV6mt7Xdk979ZXFLbv4ovCfkvOt/VYfDGx447EMjZ69tazpdmX6flM2DmmQPsv0N5i k6fCeaLr/DLt7Tg7z2Yc9PwqPVuafZmez4SdYwq076v95jzRdba1n6/Hj+XudbquQ2vgNEATmhl9 IK9gUAt9oGEoQLpQmRdztqDJF1LZgtFFvmgMn22R5BaFYQG1/DdqNgtIF9l558jHThe322OS/QvX msZ28WyxWSy+YLiG37/9d//xw9FsGLqIF/ybRX22SN8suLe5rb2YHK+paIGeRPYCUvt+cw879bW5 ruyed+trjc29x7n1+5TvYXPfT5xzE/E50XOKPnq2NPtSPZ+J6PrQ3m3/uPZLbPI0RT5OdJ1fqv18 LHr21bOl2Zfq+UzM50H7vtpvxomuc0/7sH26nqfWwGmAJjQz+kBewaAW+kDDUIB0oTIv5qKFU1is 2eIo375dgNrCyv+3X+aFkR9j+uy+by4u4wXbFMvCyy9mbaGZf86ubbmW/HMe6bW7cy2Lw48sOr85 XMPvz//df/hw5A3D5P6nKOpuuZzzs2jxmRcTG7tx7GaBnoddT1I/2TVXX0wq9ZXfU37Pu/W1Rn79 9jnkuzFOds31HG4DPW3/yj310rOl2Sf0fCbQvp/2S2zytP0uudfsmp/RHj1/WE+8PH3Gy8u9Zte8 yeG8/bk1cBqgCc2MPpBXMKiFPtAwFCBdqOSLxClsQWYLOlssLZEvzGzBFjXclkVdbRG3HrOGW4Cl 34f/Fky6MCz9fwBsj2vXkC+A7fMc0QL2FcM1/P7f/+8/fDi2vzDM7n+KJJeLhlNM9fHreFG/WXA/ 82IyxU5N7b6Y+ChpPUVet4murfqaonXP1XOWanybW/OG3dsmLJfxNUxx5GUjBHr+hJ4+Wpp9WM9n Au27ab+5vznsWrpoj55j6flMoP35tF/Pf3wNnAZoQjOjD+QVDGqhDzQMBSgtVojXD9fw+3/+7V98 OLYNQ4IgCIIgCOInAzShmdEH8goGtdAHGoYClBYrxOuHa/j933/+Fx8OGoYEQRAEQRCvFaAJzYw+ kFcwqIU+0DAUoLRYIV4/XMPvs1EalyAIgiAIgviZAE1oZvSBvIJBLfSBhqEApcUKQRAEQRAEQRDf G6AJzYw+kFcwqIU+SDYM3U0rxT/95+8EQRAEQRAEQfxwlNbqBEEQBEG8Rsj9wtDdNAAAAAAA/Bys yXVB+z6QVzCohT4o5pWGIQAAAAAAfCusyXVB+z6QVzCohT4o5pWGIQAAAAAAfCusyXVB+z6QVzCo hT4o5pWGIQAAAAAAfCusyXVB+z6QVzCohT4o5pWGIQAAAAAAfCusyXVB+z6QVzCohT4o5pWG4cT7 /fq43N7mTwDwXXjvXS5z3B6rC98f96t9PwceHY5U/+vj/l76Pq4LeEnebpFecQTtUj0vD6w8GIn+ q4897/fHFe2HpzaXN2tjghdaXdC+D+QVDGqhD4p5pWE44Rc6rGIBvpm3x+16f6zvFdMLxeLD0DDE luPi591I/5VWXcBZWHRzDaNIz9BYoAk8DL4hlDeITN/Jy5fL42ob831hCKpzebM2ArzQ6oL2fSCv YFALfVDMKw3DiU3DsPoXcWtihEXw9i+mhSaHWyDFC6nq2G7Maay7W1C5bbfHbfOiHMZfFt8AA5G+ dNAwHJt5vjswldUbi/Cy+OdcRd/WNjgdW39G3t40iJjXx6M+lzdrY4YXWl3Qvg/kFQxqoQ+KeaVh OJE2DKcFTbTAKTUx4ibh7q+ikoZha2y3kAqNwuXwfLHNixYMS6j/tRluXrOg7odinsuuscbFLkJe F3AGmr8KLfzKCE7MRs/gWSf/tmEU5nX8PBCtubxRGwYvtLqgfR/IKxjUQh8U80rDcCJtGGb4xZAt ePYagnvbM5Kxtwup/LvmdQKcEf9Ckb1kFPC1T5NhHLzuURPYz4XR/HewLuAVKT3LDBpGI+IbxObX uXnk9N82DMO+6D8QO3N5rTYMXmh1Qfs+kFcwqIU+KOaVhuFE3ogLzYl4kfN1DcP62OWXrPXaCmMD DETwRq0p2GpCwOnwL5mx1vVGUrsu4NXwelX+SOabB7U/oMEgrHP1thZoGA/HE3N56TnOC60uaN8H 8goGtdAHxbzSMJxYm3IT+eLnK39h2By70hCxfZJ9AQbE13jlXz1ubYPzsdGz8ZKJ9iei3tinWShC vM7J1zylNRKcm2fm8k098EKrDNr3gbyCQS30QTGvNAwn/IuMrWCzBU341yns817DMBvLL6Sil6Tm 2LUXrXBO/2tEVtkwEs4fUU3HvyR7u6UNIpoNo5G9VPq5cda8URfw2pS1mp9h+FeAsI5Zm0XZuqbQ MIKz05jLE/LaCPBCqwva94G8gkEt9EExr8INw7B4Sf+14EBo5IW43u/TfrZ9v2G4GTfbXh87W1hH hJew8jaA8xI1w31ELxn+pSPaRrNhPOwPKnOs81ujLuCFKTcENl624IE2BpmPN/on2/HykNTm8r3a mOCFVhe07wN5BYNa6INiXvmF4RnwL1z8VR4AAAAAxoAXWl3Qvg/kFQxqoQ+KeaVheAKSf80ZAAAA AODk8EKrC9r3gbyCQS30QTGvNAxfnvq/qgwAAAAAcEZ4odUF7ftAXsGgFvqgmFcahgAAAAAA8K2w JtcF7ftAXsGgFvqgmNeLu2mlAAAAAACAn6e0VicIgiAI4jWCXxgCAAAAAMC3wppcF7TvA3kFg1ro g2JeaRgCAAAAAMC3wppcF7TvA3kFg1rog2JeaRgCAAAAAMC3wppcF7TvA3kFg1rog2JeaRgCAAAA AMC3wppcF7TvA3kFg1rog2JeaRh+mPfH/Xp53N7mjwAAAAAAcAheaHVB+z6QVzCohT4o5lW+Yfh2 uzwulzSONQFpGAJ8FebD6/19/mbi/f64Pu1LOBPv9+ui7+VyfSzyo/1pwctivN0WXdO4Pd7mdVLy PeIPRzqPO91nmrUR4IVWF7TvA3kFg1rog2JeaRhOLzfJi81haBgCfAnupeJ6e9wmP61efHvcpheL 5bN/8YgaSnB6/Evm9T7NpDlof1rwMkz4prFfHLFOGp/J39E8vmpfJt/OC60uaN8H8goGtdAHxbzS MGw2DPO/jkd/OV0WwuFlKGyPX4Lc99Pnu3s5smMLi2f/ghW9NFd/ibEd77ZZmIXx6/cD8GqYJ7La 9U2Fkt/mj3By5vmsNFWh/UnByzDh1zDmbbRWo/6HoImkNgK80OqC9n0gr2BQC31QzCsNw0bDMP9L aLoQCgvhuEkY/rUMezGyRuLOi1LSMJyOiRZa6fkK4+UvYoXFGMAr42vcGyJtMmxfOtLtcHLmuerq 59A55okR7c8JXgZHum4KWi8eZ30yOGGdWvN2vqZ28EKrC9r3gbyCQS30QTGvNAzdAmZZzLqYG3DF 5lv8q5iwEE7XPvH2sHBKtxeOSRqGGf4a0gbk9nzrd+sLG8AJSOp7r8ngrEKTYRj8Hzui+dXXQpjL 0P6E4GXwlNYpK74W4j9ywhj4+XxeQ1fXoOXa4IVWF7TvA3kFg1rog2JeaRjWXlzmF9i0mehir2Fo 35UWR/sNw7Cgjs/XahjO+/svS9cD8Krk9brXZEi3w8nJfx0d6Yv2ZwMvQ2CrdU67oQjnx9dAoSlc qw1eaHVB+z6QVzCohT4o5pWGYbNh2PpLeP6S5HCL4U/8wjB/iU6uobLQtn12rxfglQj1nDbH53B+ qDSUeNEcBD9fRb8wnPX1czHanwy8DI7KGiVm43sYjqLG9drghVYXtO8DeQWDWuiDYl5pGFb/1ajo BbZI2L75bxguf0EtL5Dc+ZZ/ZcMvrOaXKvc5e7Hy+y6fawsuu45oXIDTkfstq/dN0wHOTaa317fy xxa0Pxl4WZHSL8vebmnjyK9pljUSDIFbx0Zrz1Id1H516OCFVhe07wN5BYNa6INiXmkYVhuGjqgZ Z7Esdt22aTH8Njf9fMQLolqDL3y/7O9enqIFdGgShrje79O+NmZtPFuMlbcBnIO8yTBhDXUf+S8W 4PQk+mbzF9qfGLysR1ifbNZSvjlsuk9Bs3BA8nVy7u9KbczwQqsL2veBvIJBLfRBMa/yDcMh4Bcb AAAAAHAieKHVBe37QF7BoBb6oJhXGoYDkPxrzgAAAAAALw4vtLqgfR/IKxjUQh8U80rD8PTU/1Vl AAAAAIBXhBdaXdC+D+QVDGqhD4p5pWEIAAAAAADfCmtyXdC+D+QVDGqhD4p5vbibVgoAAAAAAPh5 Smt1giAIgiBeI/iFIQAAAAAAfCusyXVB+z6QVzCohT4o5pWGIQAAAAAAfCusyXVB+z6QVzCohT4o 5pWGIQAAAAAAfCusyXVB+z6QVzCohT4o5pWGIQAAAAAAfCusyXVB+z6QVzCohT4o5pWG4Y/w/rhf L4/b2/wRAAAAAEAIXmh1Qfs+kFcwqIU+KOZVvGEYGneXS6V593bz2y7X+7TnV0LDECDm7RZ8eL2v Tnu/X4P/fNwe2GUk1rl3iWhCRPvzUvKywzTNv4cxSD17fZjM6fese0akPl+353kHL7S6oH0fyCsY 1EIfFPNKw3BazFyv02Kn0BR0Lz63242GIUBPXGP+envcnBeXZsLb9Hn1nW9CYJiBaM2BaH9aal6+ uM9v4XlLw3A4fMOotE56v0/rq/X70FjiDwBj0Zqv99e6vNDqgvZ9IK9gUAt9UMwrDUO/mHEvNOtf xD1uoesWtv4FKFoI++v5ROsS6E5jHu868SbVFc3D8+r23Lzg8ggXkh/G+tmVB9IYWTsv8iaaD9 WdjzctvjcFYK66cafj3EWmdk0vl6f57nhVYXtO8DeQWDWuiDYl5pGM6LGfdX0fhFxi96woZo8ZP+ JTVdGFnzL/7refhuHdeOD+eNm4T8igYUWXw2e6LcTMh9BOfH5kCLWhMB7c/CvpdbHofTMjcBr7Gf a2sZ/5954ReG45LP1/vzPC+0uqB9H8grGNRCHxTzSsNwWsz4tW2ykHWLnnlhk//CMMZ+heg/hIVS sk6uLo6j8xqt8wCMSOKfQjPB+2fnBRSGwDeb4rkS7c/Fnpc9te/h1HivRo0gXwulX5Wh/7AcnK83 8/wEL7S6oH0fyCsY1EIfFPNKw3Bp3EUNv7h5F//zRFjwzAsjH7b4qTQMi03A+Lwz1X0BRiT3QPtl svSiASNRmD9n0P7VOerltsfhpPhmUezPss7+36JgjTM87fl6O8/zQqsL2veBvIJBLfRBMa80DKMX Hb/QmT4k/3py3jyMF0L8whDggwS/pM33OUo+8F6r/WurcHpa+qL9i3PUyzQMh2Tjz63ONAuFeHIu 54VWF7TvA3kFg1rog2JeaRjGjTu/mHEvOlGTr9Ew9IvgVsNw/m5dOE+f/Vg0DAFSspdM58XIIPzK bCzebulLY9JQQPuTU2sM1r6Hc5Pp6tdJ5u+wjbXNwDTm6+Y8P8MLrS5o3wfyCga10AfFvNIwnBaz 61pnXtzGnbyskReahCGu9/vj1mwYTixNSBfpIjrZl4YhSJO9dJoXN96BIfBNhUjfZO5D+3OTe7n8 C0QahwORrHOitU3uc4vNQgnOS2O+bs7zAV5odUH7PpBXMKiFPijmVbxhCAAAAAAA3w1rcl3Qvg/k FQxqoQ+KeaVhCAAAAAAA3wprcl3Qvg/kFQxqoQ+KeaVhCAAAAAAA3wprcl3Qvg/kFQxqoQ+KeaVh CAAAAAAA3wprcl3Qvg/kFQxqoQ+Keb24m1aKf/rP3wmCIAiCIAiC+OEordUJgiAIgniNkPuF4b/6 139OEARBEARBEMQPB2jiXkLh6yGvYFALfVDMKw1DgiAIgiAIgiC+PUATmhl9IK9gUAt9oGEoQGmx QhAEQRAEQRDE9wZoQjOjD+QVDGqhDzQMBSgtVgiCIAiCIAiC+N4ATWhm9IG8gkEt9IGGoQClxcrP x58+fu83Lo/L5Tcfv/cnpe3fFXYdv/P4dXE7QRAEQRAEQXxNgCY0M/pAXsGgFvpAw1CA0mJlbZTF 8Z3Nu0rD8E/+4PGL5JriOHJ9zzYAaRgSfeKPf/WboW5/4w8ef3xw2/K9xW//UXIccY4o6vuHv5Nq O8cvfvWny3G//u1420//MYWwKPv1jx6/XLSyiJ4jmd6//EM7jjhNZBrGXq1uO+Bz4jzReo6n6+h0 vm4fR8NQFZoZfSCvYFALfaBhKEC+UFkXtFmTzDfrvqtxVmkYRmELrucW2jQMiZ+O+CViiuSFobFt 9qXVuzWPaDScKVrap5HrGz4zD71WtPScG4alpr57ltr3yx/B0PZU4ebjRdu1DrxfW9viMaZgHj9r HJjL/TP7Nx+/8PvZWvbYMwA0oZnRB/IKBrXQBxqGAqQLFftVxM7Ly/yS84tf/UG6/9JsDLE288K4 v/jVHyWLpWSRHB/7G7/z+GWyyNpGvWGY/7KjslBzYYu16nXbMbzMEV8U3jtTTf7h3CiIXxga2/J6 t8+8aJ4oWtpv9ou2L/NtPtcRPxpNPRsNwyQOPnOJl47WHzCr23KfE+eJ3bk8X/NO+7p16O5xIUAT mhl9IK9gUAt9oGEoQLJQscbZ3kuOLXSnWBoW7rtl8ZM32tYmXtg/f0maP9vxSwNvXmT5fdIoL8Lz ce06bJxCA7B53TQMiU5hHiq9MBS3RR76VeNY4vWjpf0Um7ltng9/8Rvhex9o/zrR8uves/ToM5d4 6Wj9UrC2rdVkJE4Slbk8aOvWjfkatH2cBWhCM6MP5BUMaqEPNAwFSBYq9mJqC1hb1CwxN852Fjsu wiLZFklZQzDfnp+3tsiKorjY3oyT77ffAEyvm4Yh0SlaHqpuW5uGLvh14UmjOX+axuvcl891NBpe LIp6pl71ETUFTcMQPF9OHdb0Lfm5um3rc+KE0fB+uubMdG4+A2gYqkIzow/kFQxqoQ80DAVIFiq2 uN382sEWt1nDMNvP/pK+hi2S5uOjxVHcmNu+AH+sYVh8kU6aiOUGYP26aRgSnaL1wlDalrx4rs0I moYnjJb2hTl4M69V5l/ih6Klpw97jpT8ipdPHaZ9aY3Q2lZdaxGnioL3w3rSNKdhCMehmdEH8goG tdAHGoYCpAuVrDFY+94WO4WXWnvpSX+p124Ypk09t/1jDcPtOPl1bRuA7eumYUh0itYLQ/UlJPID L5znjar2lcZSPq8V5l/iB6Pl5TmCf7Pn1YFtxCtHbb20t63ic+J8sfH+qu02ouf3zpwBmtDM6AN5 BYNa6AMNQwHyhcrSiEgWMkcbhrYgsv2zz9GYSQMkXzzZNcQLrCyKDcPNebYNv7zx0r5uGoZEp2i9 MBS25Y3tcv0Tp4ia9vZ9Pt9k++e1QPxwlPScnmGrN7PnSrLNnjH1Zx3ximGaltYGrW1T1HxOnC9q c/kSFX/vHAea0MzoA3kFg1roAw1DAfKFSghb8GZhDUJb7CS/cEmP+eVvu6Zf1oiLFkfVX0zN+/06 aeRto9owWRbjFpWXbxf+elrXTcOQ+OLY1OcczkutbUstrkGz8GTR1HenCRzPj1PQLHyBOKhniPRZ 1tpGvH6k+kWxrF3K2+KGP/P3iWPH+2tkDcODx4EmNDP6QF7BoBb6QMNQgHiRQhAEQRAEQRDEzwRo QjOjD+QVDGqhDzQMBSgtVgiCIAiCIAiC+N4ATWhm9IG8gkEt9IGGoQClxQpBEARBEARBEN8boAnN jD6QVzCohT7QMBSgtFghCIIgCIIgCOJ7AzShmdEH8goGtdAHyYahu2mlKC1WCIIgCIIgCIL43iit 1QmCIAiCeI2Q+4Whu2nQBO3HAj11QfuxQE9d0F4b9NcF7ftAXsGgFvqgmFcahiAD2o8FeuqC9mOB nrqgvTborwva94G8gkEt9EExrzQMQQa0Hwv01AXtxwI9dUF7bdBfF7TvA3kFg1rog2JeaRiCDGg/ FuipC9qPBXrqgvbaoL8uaN8H8goGtdAHxbzSMAQZ0H4s0FMXtB8L9NQF7bVBf13Qvg/kFQxqoQ+K eaVhCDKg/Vigpy5oPxboqQvaa4P+uqB9H8grGNRCHxTzSsMQZED7sUBPXdB+LNBTF7TXBv11Qfs+ kFcwqIU+KOaVhiHIgPZjgZ66oP1YoKcuaK8N+uuC9n0gr2BQC31QzCsNQ5AB7ccCPXVB+7FAT13Q Xhv01wXt+0BewaAW+qCYVxqGIAPajwV66oL2Y4GeuqC9NuivC9r3gbyCQS30QTGvNAxBBrQfC/TU Be3HAj11QXtt0F8XtO8DeQWDWuiDYl5pGIIMaD8W6KkL2o8FeuqC9tqgvy5o3wfyCga10AfFvNIw BBnQfizQUxe0Hwv01AXttUF/XdC+D+QVDGqhD4p5pWEIMqD9WKCnLmg/FuipC9prg/66oH0fyCsY 1EIfFPNKwxBkQPuxQE9d0H4s0FMXtNcG/XVB+z6QVzCohT4o5pWGIciA9mOBnrqg/Vigpy5orw36 64L2fSCvYFALfVDMKw1DkAHtxwI9dUH7sUBPXdBeG/TXBe37QF7BoBb6oJhXGoYgA9qPBXrqgvZj gZ66oL026K8L2veBvIJBLfRBMa8Xd9MEQRAEQRAEQRAEQRAEQRAu+IUhyID2Y4GeuqD9WKCnLmiv DfrrgvZ9IK9gUAt9UMwrDUOQAe3HAj11QfuxQE9d0F4b9NcF7ftAXsGgFvqgmFcahiAD2o8FeuqC 9mOBnrqgvTborwva94G8gkEt9EExrzQMQQa0Hwv01AXtxwI9dUF7bdBfF7TvA3kFg1rog2JeaRiC DGg/FuipC9qPBXrqgvbaoL8uaN8H8goGtdAHxbzSMAQZ0H4s0FMXtB8L9NQF7bVBf13Qvg/kFQxq oQ+KeaVhCDKg/Vigpy5oPxboqQvaa4P+uqB9H8grGNRCHxTzSsMQZED7sUBPXdB+LNBTF7TXBv11 Qfs+kFcwqIU+KOaVhiHIgPZjgZ66oP1YoKcuaK8N+uuC9n0gr2BQC31QzCsNQ5AB7ccCPXVB+7FA T13QXhv01wXt+0BewaAW+qCYVxqGIAPajwV66oL2Y4GeuqC9NuivC9r3gbyCQS30QTGvNAxBBrQf C/TUBe3HAj11QXtt0F8XtO8DeQWDWuiDYl5pGIIMaD8W6KkL2o8FeuqC9tqgvy5o3wfyCga10AfF vNIwBBnQfizQUxe0Hwv01AXttUF/XdC+D+QVDGqhD4p5pWEIMqD9WKCnLmg/FuipC9prg/66oH0f yCsY1EIfFPNKwxBkQPuxQE9d0H4s0FMXtNcG/XVB+z6QVzCohT4o5pWGIciA9mOBnrqg/Vigpy5o rw3664L2fSCvYFALfVDMKw1DkAHtxwI9dUH7sUBPXdBeG/TXBe37QF7BoBb6oJjXi7tpgiAIgiAI giAIgiAIgiAIF/zCEGRA+7FAT13QfizQUxe01wb9dUH7PpBXMKiFPijmlYYhyID2Y4GeuqD9WKCn LmivDfrrgvZ9IK9gUAt9UMwrDUOQAe3HAj11QfuxQE9d0F4b9NcF7ftAXsGgFvqgmFcahiAD2o8F euqC9mOBnrqgvTborwva94G8gkEt9EExrzQMQQa0Hwv01AXtxwI9dUF7bdBfF7TvA3kFg1rog2Je aRiCDGg/FuipC9qPBXrqgvbaoL8uaN8H8goGtdAHxbzSMAQZ0H4s0FMXtB8L9NQF7bVBf13Qvg/k FQxqoQ+KeaVhCDKg/Vigpy5oPxboqQvaa4P+uqB9H8grGNRCHxTzSsMQZED7sUBPXdB+LNBTF7TX Bv11Qfs+kFcwqIU+KOaVhiHIgPZjgZ66oP1YoKcuaK8N+uuC9n0gr2BQC31QzCsNQ5AB7ccCPXVB +7FAT13QXhv01wXt+0BewaAW+qCYVxqGIAPajwV66oL2Y4GeuqC9NuivC9r3gbyCQS30QTGvNAxB BrQfC/TUBe3HAj11QXtt0F8XtO8DeQWDWuiDYl5pGIIMaD8W6KkL2o8FeuqC9tqgvy5o3wfyCga1 0AfFvNIwBBnQfizQUxe0Hwv01AXttUF/XdC+D+QVDGqhD4p5pWEIMqD9WKCnLmg/FuipC9prg/66 oH0fyCsY1EIfFPNKwxBkQPuxQE9d0H4s0FMXtNcG/XVB+z6QVzCohT4o5pWGIciA9mOBnrqg/Vig py5orw3664L2fSCvYFALfVDMq1zD8HK5EARBEARBEARBEARBEMThUOPiuqRKURKdIAiCIAiCIAiC IAiCIGpR6jGNHHIt0v/rX/4bgiAIgiAIgiAIgiAIgjgcatAwJAiCIAiCIAiCIAiCIIhGqEHDkCAI giAIgiAIgiAIgiAaoQYNQ4IgCIIgCIIgCIIgCIJohBo0DE8b//Lxu3/b/uObf+/xD4v7fEP8k7/3 uPzt33/8urSNIIgDgZcJYozAywShGXifID4XeIg4T6hBw3Av3MThJy8Xf+fxu/+isM8PxK///t85 MKH9s8ffXa59ji+eBP11/NY/K25rxr/4/cffiq7rb/39f1nZlj00suP+7j+JthFEK/ByM/p7OfMr XiY+Gni5GR/2sgvLbeGa/LjRdS9ex8vEdwXeb0YX7/McHyvwUDN4fhJHQg0ahq3wJo4mUzcRfPHE 9LEIf4VJXsyzsIkpnXjccV/7cPiHv9W+jmKU8mqNQbdtyXF4MOSTqt1TuMcf/CsUcZ7Ay7vRxcs1 v+Jl4qOBl3fjQ16er9+9KLnj8xcm/10pz3iZ+K7A+7vx5d7nOT5W4KHd4PlJHAk1aBg2whu3NpFu JlnX3IomLTcJTNv/4TzBufAT0Dw5+O+yCSUJ/+I972fHuu/j430UJhZ/7M4Eml2fjW8Tso95ezxx Jtt/6/f9BBlP3sn22jVkuavnOX2AbCZhf59MrMR+4OXv93LLr3iZ+Gjg5U5eXqLw4rbJ6xp4mfiu wPvf732e42MFHvp+D23zukbdQ2Gc+Drw22uFGjQMWzFPbonx5/ATSGxcP+Gtxl0mmHmf5bNNGtn+ cYR9o23zZLpMHI1ji5NVIex6tpPm9h7svPl2P3lFk2dxe+nhEd1POKYyASf37R5c6eTJZEkcDrzs 9/k+L7f8ipeJTwRe9vt8uZeXyF4S7dr/djivRTg/Xia+MfC+3+f7vM9zfLjAQ36f7/PQR5+f2T3P +VpyPcX+tRA9Qw0ahnthJk0mgGDUZPJyJs+NHH3OJ5365FiYQPKJIztXEn7c6FqX6w9h4+bXZ+dI zpuMVZnYljHy7e0J3ibtJCdJhOOXyXCZRNd9/Bi1PBBEHnj5+7zc8iteJj4beLmLl31schDGiI/B y8SPxeIdvN/d+y1/4/3zxlKDeKi7h+Yx4mOOeijWw//zb/09/wtKf215TohvDzVoGB6MdGLcTkJ+ olo6/eXtrYk4+X4z4aaTlr+W2l8Vise7cGPY5LI3ic4RX2Nhe3Id/rzrBO6iPKlmk6c/bjvp5RN/ PIkm+/DXFeLJwMv9vdzyK14mvirw8ld5OYo8B/4c2bXP9/O7eJn4ocD7/b3vx6v4u7XNPhOvHXjo tZ+fy7XYGNFYeO3nQw0ahkcjnlg2k0yY+NaJJJ7EXOxNxFGUJsbsu80kHcfm2uZIJrH8+ubtyXnD NacTZ7w9vefS4qEU2/sO46y5mc+bjbUdPz+OIA4GXu7u5ZZf8TLxZYGXv8TLcWxyULh32wcvEz8W eL+793mODx54qLuHSvdu++x5yLb/7pKb+R7/SSUfxLeGGjQMi+EmldSM3uBm7GTymieg2Lx+ez4J xeNtJ9ol/OSSj5VP2q2Hsl1PeYLynzfXZ9/l9xSdt7J9uY7CpFiKJI8ukuPCvR154HxkIicUw9Vq 7D28XNv+pV5u+RUvEx8KV6ux9/BybfuzXl4jjLHe1xTJOaaIc4GXiW8JV5dRDU6B98vbv9T7LX/j /ZOF0zeueTxU2/6lHkrOMUWciz0P+e3xfRfugfixUIOGYS0Wo86RNLFW0wbju8muYfrNRJZPtGn4 STA6dzKJ5pNPJfIx9h/s8T25c4bP8bnXMbf3nG4PUZ7QwoNh3W+9l+01TxFdZ7J9c/0EUQm8/O1e dtHya2sbQVQDL/fxcp5XH+v9+GsrfO8CLxPfEnj/R7zf8ndrG/GCgYd+xEMffn76vMTnnO8Hr71E qEHD8GzhJ6Z0QiMI4oSBlwlijMDLBKEZeJ8gPhd4iDhhqEHD8GTh/xqR/FWIIIgzBl4miDECLxOE ZuB9gvhc4CHijKEGDcOTxPqTZv4KQxBnDrxMEGMEXiYIzcD7BPG5wEPEmUMNGoYEQRAEQRAEQRAE QRAE0Qg1Ln/2Z3/2UIrw1wyCIAiCIAiCIAiCIAiCOBalHtPIIfcLQ3fToAnajwV66oL2Y4GeuqC9 NuivC9r3gbyCQS30QTGvNAxBBrQfC/TUBe3HAj11QXtt0F8XtO8DeQWDWuiDYl5pGIIMaD8W6KkL 2o8FeuqC9tqgvy5o3wfyCga10AfFvNIwBBnQfizQUxe0Hwv01AXttUF/XdC+D+QVDGqhD4p5pWEI MqD9WKCnLmg/FuipC9prg/66oH0fyCsY1EIfFPNKwxBkQPuxQE9d0H4s0FMXtNcG/XVB+z6QVzCo hT4o5pWGIciA9mOBnrqg/Vigpy5orw3664L2fSCvYFALfVDMKw1DkAHtxwI9dUH7sUBPXdBeG/TX Be37QF7BoBb6oJhXGoYgA9qPBXrqgvZjgZ66oL026K8L2veBvIJBLfRBMa80DEEGtB8L9NQF7ccC PXVBe23QXxe07wN5BYNa6INiXmkYggxoPxboqQvajwV66oL22qC/LmjfB/IKBrXQB8W80jAEGdB+ LNBTF7QfC/TUBe21QX9d0L4P5BUMaqEPinmlYQgyoP1YoKcuaD8W6KkL2muD/rqgfR/IKxjUQh8U 80rDEGRA+7FAT13QfizQUxe01wb9dUH7PpBXMKiFPijmlYYhyID2Y4GeuqD9WKCnLmivDfrrgvZ9 IK9gUAt9UMwrDUOQAe3HAj11QfuxQE9d0F4b9NcF7ftAXsGgFvqgmFcahiAD2o8FeuqC9mOBnrqg vTborwva94G8gkEt9EExrzQMQQa0Hwv01AXtxwI9dUF7bdBfF7TvA3kFg1rog2JeL+6mCYIgCIIg CIIgCIIgCIIgXPALQ5AB7ccCPXVB+7FAT13QXhv01wXt+0BewaAW+qCYVxqGIAPajwV66oL2Y4Ge uqC9NuivC9r3gbyCQS30QTGvNAxBBrQfC/TUBe3HAj11QXtt0F8XtO8DeQWDWuiDYl5pGIIMaD8W 6KkL2o8FeuqC9tqgvy5o3wfyCga10AfFvNIwBBnQfizQUxe0Hwv01AXttUF/XdC+D+QVDGqhD4p5 FW8Yvj/u18vjcrk8bm/zVzFvN7/tcr1Pe8LZOYPB3+/XUHM+bo+kLK0efVwf90ZRtsYZYZsDL+vy +l5e63GJuDATL18e15aZJ1IvpN5/+W3Zva6xehov63KG5zK02JnrJmxeKM1zeF+Xw95vPkP26y 2559M1+6jecpPAHP133ebsEfy/PpaY9pQMNwmkiv12lSLkyWrohut6lwmEiH4PUN/va4RbXmJzF7 wvsJLFpM+M/bJlqgMc4Q2wJ4WZfX93Kox6xkZ6bajr38fn9csxeFGP/SUKnbs2zLyf2Ml3V5fS9D m725zr2IvQVPFyY5vK/LZ7y/PkNa9bfllZ6LH92Ww/MUavB83cG9S19v0/tm+flktD2mAQ1D/6DJ XuAc/iXu9njzxRRPpOGYUsfZ449bt6/1FZ/LttdfEuHrOZvB4wXDdvFQqNkKPRYsr7ANL+vy+l62 Gpk/xlg9zh/bXh5hW4a//3RfvKzL2Z7LkNOY6xbCPkcbhnhfgw97P3mGHKk/o/WcOsu2jCQXATwF Bs/XFlav4X+rDcNdj2lAw9AXyzQ939Ji8Q2KsCGZSPMuc9rImCbJaN90m03Aa9HlY0FfzmXw8MBd atLVYfLQDtv3yycbJ+Hc2/CyLq/vZasRi3Sx4evF+znsV677iXmhco3Hsjo7y7aMklfwsi7nei7D lvZcF6jPc3hfl496P9XpSP3NvNJz8aPbMko1i6fA4PlaZ6n/uW5r6/B9j2lAw3CeSP2EuTRkXINi nvDiiXSexNOaivbN8fvbmNG5jGyShr6cwuC+Dt0DdztB+UnLts2LiWyXlcY4Q2ybwMu6nO1h7Rcm S/0EFj+36sbXclSTvg7jOj/BtgTnse33eFmXs3kZ2pTmOvPZMw1DvD8+H/N++RlilOtvxtdUVBvx c+os2xLKucBTYPB8rVCo23LD8IjHNKBhuExuUVHEE9xmIp1f8pJYJ9LwsIq3MZG+CmczeHPhU5nE SrTGOfM2vKzL+R7WsV9T74Y6qyzGXV0ldR8tbM6yLcLfa8EneFmX83kZ2pTWJuX5wIH3dfmI92vP kJVS/c04fb/6+fbd2yJ4nsIePF9L5HVa9pfjmMc0oGEYFY0vjOmD++XHUjibiTSexDPyST7Zn4n0 pzmdwX39HG0kNGiNc+JteFmXM3t5uwCpL1bi4wLRvmfZtlB/kcPLupzOy9BmMxc4SvNBAO/r8rz3 G81Ao1h/M5ttUV2eZdsCz1PYh+drieCdtOk9R1KrRz2mAQ3DeHLzE58rmmgyTCa70qQdkU2kbkJe PzOR/jQvb3BXf1GB+Ad7XIsLYRJb6zDUllsEhI+NcUbYNoOXdXl1L7/d4sX+XD9WH1ltWa2Gesq8 nNepP9bGPsu2QMnDBl7W5eWfy9CkOdct1D2K93V51vulZ0i7/oLGPE/xlCo8X49QrvnjHtOAhmEy uYXP68NlYjPZzfv4CXeOaHuYPENc7/fHjYn0ZXh9g+e1FS0Qloe81VZcNXndNsYZYlsAL+vy8l52 9VCpK0dcWy5WPxfqNvN+Undn2TY5J/0jRwpe1uX1n8vQpDnXlX/JEc8DeF+X57xfeYY0669QP6/0 XPzoNp6ncBCer0cIdZv66RmPaSDeMAQl0H4s0FMXtB8L9NQF7bVBf13Qvg/kFQxqoQ+KeaVhCDKg /Vigpy5oPxboqQvaa4P+uqB9H8grGNRCHxTzSsMQZED7sUBPXdB+LNBTF7TXBv11Qfs+kFcwqIU+ KOaVhiHIgPZjgZ66oP1YoKcuaK8N+uuC9n0gr2BQC31QzOvF3TRBEARBEARBEARBEARBEIQLfmEI MqD9WKCnLmg/FuipC9prg/66oH0fyCsY1EIfFPNKwxBkQPuxQE9d0H4s0FMXtNcG/XVB+z6QVzCo hT4o5pWGIciA9mOBnrqg/Vigpy5orw3664L2fSCvYFALfVDMKw1DkAHtxwI9dUH7sUBPXdBeG/TX Be37QF7BoBb6oJhXGoY/ydvtcbneH+/zx0/z1eMNBhPnWOBlXfDyWOBlXfCyNnhfF7zfBzwFBh7r g2JeaRi6yedyWeL2Nn8/8X6/Pi7xF1/Nt02k74/7db1Hi+tda8o9g8F9zUUatcov3ff2iHcdfZsD L6+Bl1+PtH7bXk5r9/rI5UzHWrdXz5F5YY3goz1v2fZaXb3dwrHL9qfOt80FXl4DL49P1V/v98c1 qoV6mRdqJzVJdZym9xPfHZyHmt7fuc4JvL8G3m+Q1UUzVy0ftcZJtkX1nx2zxlTjrW3z4Y7NM9Ox 4/ei32Za2/DUGmqeynn2+Wp1Vcpba1vCwbpOx9l/Vuydv+ixiepxh+eJ7bNQcd2i3TCci2UtkrfH LZqIfJENNJH2vJUz8PIGd/WY11++oF9Ia9VPlIvAo28L4GVdhvKyX5jkLyfrvv7YUi08NV+4Yc1D O76bfHS9v/k6Ky7MfG3epjHqCzfHMu6B68TLury8l7+Ulr9s2/xdPi8ktGqnNU7qpcT7+fn85wPz UIF13P0ax/u6HPe+q+moNn2d1LyxU/+1cXbqPyd9bqZstvk6yJ+Zreuca71Si3texFNgPOcxV4+t Z1NjXbjQquvWOEeeac+uS4/c0/xdfJ3JNdvnxppVBBqGcVEshMJdu8tRUc2Tr32/FrcVeyjCsD0b Ozl22nZ3BR5NfNWx3Zjz7bXLh74y3sGTEfu3K+TV5iA9WOeR1OZ/BqfW756OLizNvwcg5eflmq 9ek25bU9599/Ef/zDo1zPHd+R6iPdIHlsPqrbZ958lrwck5p7Mr5NnnBy69PwT+bl5JWfTS2PTFO 7P0+81DrHgJ4P6c0duV8m7zEuteOeR0Oe9tXBv28ROm9z9xvtGuW6M067/DD/O0W12/vC/S902 fdo4d3NbAE/llMaunG+Tl0K9bI55XZ5/vob7T55NC61tM4eeP6VxSvvl1M5vx7a3J983rvPIXKC4 bhH/V5JDgWwmvBlfNEn1TkUTFVFaVNux0r8y5QXrCnDavhzfGnvet1Dc9fFiViNsKY1dP1+cD3+N yz6lY16L0xl8M6HVCLnfTpKOcbfh5ZzS2PXz4eVvpOXlzbaQfy/PvNi/+nqcoyx+8xz1X0OEc219 l9dkYPVRebvR+vVF6Trxck5p7Pr54nzg5TOQ18msW1In231WZt29ti7W+j4+TqiN5fsvmodK/ipd p4H3c0pj18+n4n2vnb+XPM8pe/VfHadV/xlpHaXk29aaTc/XvM6W3w54EU/llMauny/Oh7/GZZ/S Ma/N88/XPOcxrW2BZl0v1L9barpYr+XzrzVcu77t983rPDAXKK5b+G8YToQHyLZA1yKs4CduK6pQ bMnuruisIJN9Z+LtOcn+22J9brxwbasRXTTGPno+v5/lrDTOa3Eug9cmvgg/qc165okffdsEXrZo jH30fH4/vNyHfS+vdesivAz4/HsPRLXstStp0zpHQc8dbxXHS+rmyfMtlI/DyxaNsY+ez++Hl1+b rQ+2LzCudGoeS/HHznWwO07D+5+fh9r1Fl+ngfctGmMfPZ/fb1zvL3VR02jiiI9q41TrP6GV12xb oR7tOprX2fLbAS/iKYvG2EfP5/c7j6dynn++pnWa0toWOOK/w+NstCgcV6jP7bjb7/euc28uUFy3 0DCMCAW6TqaliTTsExdSWqjJ7vHE5if5rPizia8+dmGSOjDeSuHaFg5OpKXzJeO+/kR6JoP7yaqo ZZlQO7k+gVG34eUcvPyKPOvlJP8brYJO+YKodQ5fi43zh1ot18N6nrzuytfhaJ2vdp14OQcvj83W P1vf1D22ZdX5mXFCbef1Y0S1s6mz8pjbc+ds6xHv55Q8e/B8ybilcV6L495P7yWvixi/rVr/x8ep 5W87/kq6Ldc4vo7SONH2jbYHt83gqZySlgfPl4xbrolX5vnn67aeVlrbAs26Xtgfp5zr/Ljwed2n Nu72+2PXaWyvRXHdQsMwIS2+zUSaTyaFznZS3PHEtveXkubYBePsjZdQuLaFkikPns/vZw+e0jiv xVkMyDYcLrU1n4DLoNL+fg5VfjQ16O68drFdd90D9e1LTPcUDLzTkc+XnCOOlCf47k3PXzta4T L+eU8njwfH4/vPzabH28qbVmfWT4Opg1f2ac+LiceJzNfoXrP1JrhfPh/ZxSHg+ez+83nvefernP dYty/blxHK2c5tvC5+ozs3GdQduK31rbZvBUTkm3g+fz+53HUznPP1+39bTS2jaTa1zU5cA4Xov0 WbE9LuhR9di8V/F8h65zZrOv5rpFumHoJsptAa0Funm4ZEXjX4CWz4Vic/svx4fCXs7nzRAVdXPs 0iS1M15CwwiNsdPvwhjxgyXNT+mY1+L1DT7nuKHhkn+nd66F1cvo22bwck597PQ7vNyfJ7yckNXC vO/yOanr1jkCJd/4+sq1z/fJz7uhvL01Vus68XJOfez0uzm30ZdpfkrHvBav7+UelPyTaZXUXqrz 2y19kfJ1WdM8HueQ9x1hjPX6suv1Y6bXUBqrfZ0BvJ9THzv9Lq0Jx7Dez7Sw3IZ7y/OQ3Xd8bHOc mEzLmbpf2tsCmYfmcxSvM9/XbzMftLYF8FROfez0uzDGmT2V8/zzNauvhNK2PGdZjjLNA9txjjwr 2tfmqG0vfX/kOh1hv3xMxXUL/09PXKFPxRAiLdhlcoqKJUxw9t19KqSjE+lENJ4vTPc52l4fuzJJ 7Yy3kt9niHBPpbEr55u/X8ZIzlU75nV4eYP7CSvKr4VP6qzhkuBW7Y6+LYCX18DLL8YzXk60X+tz Idu+6NI8h9/B67gZb1NDsVeyupijNkb6feV8u9eJl+MI91Qau3K++ftlDLz8wmRazbF4JqmdwvPQ hMw9ldfX3jilbckx0TUZ2fZSbe56v+ADvL8G3q8Ta7HmypF5w5HokNZQdZzkmHh8I+Rz+72jtc0I 15ns07jO/HoSHVvbJvDUGuGeSmPX/BG+X8Y4madyjnssu+854vyVtz3jv8Y4zWdF6/wxucd2jqtd Z/J96Txq65YA/0oyyID2Y4GeuqD9WKCnLmivDfrrgvZ9IK9gUAt9UMwrDUOQAe3HAj11QfuxQE9d 0F4b9NcF7ftAXsGgFvqgmFcahiAD2o8FeuqC9mOBnrqgvTborwva94G8gkEt9EExrzQMQQa0Hwv0 1AXtxwI9dUF7bdBfF7TvA3kFg1rog2JeL+6mCYIgCIIgCIIgCIIgCIIgXPALQ5AB7ccCPXVB+7FA T13QXhv01wXt+0BewaAW+qCYVxqGIAPajwV66oL2Y4GeuqC9NuivC9r3gbyCQS30QTGvNAxBBrQf C/TUBe3HAj11QXtt0F8XtO8DeQWDWuiDYl5pGIIMaD8W6KkL2o8FeuqC9tqgvy5o3wfyCga10AfF vNIw7M3b7XG53h/v80f4OZg4xwIv64KXxwIv64KXtcH7uuD9PuApMPBYHxTzKt4wfH/cr5fH5XJ5 3N7mr2LcJDht+9REmE2kb7dPjgcfhonzdfG+mLx2vUfOeL8/rs5/c+Qexcu64OXX5P1+Xfx6uVwf i53xMlTAy+NQfI5P2LyQf+/A+7rg/QpW55u4Pd4ijyyRmQVPgYHH6qTrVeetmab/Aop5pWE4TaTX 61Q0hcnNTXq3WzoRPk02kcLPwcT5oniP3B4358XlheLtcZsm6OWzn8CjBsQEXtYFL78efvFV9Ade hjp4eRCaz/G34OnY9DN4Xxe8fxzfhPMdv+CRYvNvBk+BgcdqTM+mqGZXf5XJtyvmlYahn3jdoiZ9 gQm/iLg93jYTYTim1HH2JL+kmMa8p8dvirL6y4v42qLxmJE/DBPnK2J1Pi9qrMCd7xJv2X7zxwm8 rAtefjUKvjPwMjTAyyNgvgj/u20M1r7H+8rg/YP4mrRaszr0W4rgKTDw2DHqf/CeSPwXUMwrDcN5 4nUTXLyY8cUTNjQnwrTIwnjrOPMkWD1+2h5tK40VT56bSRiegonz9Vh8lnlnO3nn3sLLyuDlF2Ne UF19nc8x1zdehhZ4+fwsvtx4zah9j/eVwfvHSOvM6tAibWQ48BQYeOwIoYZLzydHqSYV80rDcJ5I /YS5/BXFFc88gcUTaaHLnOzrt2d/idmZiBOS46NrM7Kx4DmYOF+MQr3bhJ0uKgLOO/GEjpd1wcsv hvdc5Cdf/6Hm8TK0wMsnp+CP7YtX7Xu8rwzeP4Kr56zuIvzzNatxPAUGHmvg/TDVqotavfra3/pP Ma80DJfJKiqKeMLaTKRzcSURTbpPTqRhso/HYiLtBRPnK5HXd/hcbxim2x14WRe8/GJs/LL6FS9D C7x8ZnI/bL0dqH2P95XB+/tsn58524YGngIDjx0j1GhW1xM1/ynmlYZhNFn5wpg+uMluWdhsJtJt QS2Utrcm0nziTY5nIv1qmDhfibBwSRcRc7gaz71R8ANe1gUvvxi+3ucXCk+oee89vAwN8PKZ2XmO z3uZb55rGDrr4f2Rwft7bJuBG3yNxs9ePAUreOwgBR9NxVj1n2JeaRjGk5UvGLfYiSa3ZPIK+5cW PYFQXMt2G+/gROq3MZF2g4nzlcm9lU3U+aJjAi/rgpdfjcxP3g+2+MLLUAcvj0TNi3WP4n1d8H4b 39yLa3/i7ZY2NXyNZjWIp8DAYxVc3UaFV/Ja6TtDMa80DJPJKnxeJjrHZvKa9/ET7hzx9mUydjEV mvtcm0gnwuQZ4nq/TxMxE2kvmDhfmVDvySIl8VL+lx+8rAxefkESv2T1jpehAl4eieCP9TkemguL JxdPrW7B+7rg/RZZY85wNbfU8xSF+sNTYOCxGnmNl39duPHfjGJexRuGoATajwV66oL2Y4GeuqC9 NuivC9r3gbyCQS30QTGvNAxBBrQfC/TUBe3HAj11QXtt0F8XtO8DeQWDWuiDYl5pGIIMaD8W6KkL 2o8FeuqC9tqgvy5o3wfyCga10AfFvNIwBBnQfizQUxe0Hwv01AXttUF/XdC+D+QVDGqhD4p5vbib JgiCIAiCIAiCIAiCIAiCcMEvDEEGtB8L9NQF7ccCPXVBe23QXxe07wN5BYNa6INiXmkYggxoPxbo qQvajwV66oL22qC/LmjfB/IKBrXQB8W80jAEGdB+LNBTF7QfC/TUBe21QX9d0L4P5BUMaqEPinml YQgyqGv/drs8Lre3+dP5wcu64GW8DGOA9mVG83gN9NdlBO1f0ad4Cgw81gdFj9Ew7M3b7XG53h/v 80f4ObQfom+P2+XyGOn9Ay/rgpfx8qfAyy+DtpdrjOfxGnhfl/N7/zV9iqfAwGN9UFy3iDcM3x/3 6+VxqRWjmwSnbZ+aCJlIX4bzGdzV5/Vxn4vH/ZXF6tT/xWWqzattnHm/X8t/ianUoY3zapPxEfCy LngZL+PlMTifl2vg8Y+A93X5Ge+P71M8BQYe68M465bj0DCcJtLrVNi1grzdPjkRMpG+DOczuPvL ym36v47tBOzrdtkeqE26fv9sgg7jX6car0zULw5e1gUv42W8PAbn83INPP4R8L4uP+P98X2Kp8DA Y30YZ91yHBqG00R6ewvFl9Tk+/1xdQW9mQjDMf4vMj7Sog/H2bZpzPuTx0M3TmVwV3dLjcQR6jRM om+hlqIJszzpFurbYbVttT5/fRbwsi54ef5o4GW8fFJO5eUaePzD4H1dvt37Ij7FU2DgsT4MsW55 EhqGfiK1Io6mOyveZCKdJ8G8yJeCDdvXcVyxT/tHE6k7z+b4ZKKFXpzO4HHtuYkxqyNfZ37CXCfU 4qS7WQwE1prP6/Yc4GVd8HIKXsbLZ+V0Xq6Bxz8E3tflR7wv4FM8BQYe68Mw65YnoGE4T6S+MJcJ 0U2AcyHnhb/sY0T7lrZvjl8NEoiOh66czeDJBJpNnPGD3z+c523bSbcyoZYm68LE/MrgZV3wcgRe xssn5mxeroHHPwbe1+UnvK/gUzwFBh7rwyjrlmegYWgTqZ/QoknVCjD/581EWpuMZ+LjfaFPBtkE E+l3cCaD+4m0VCtzLcWT7vTJ1677vJl0iw/vwiRb2e+Vwcu64OUVvIyXz8yZvFwDj38cvK/Ld3tf xad4Cgw81ocR1i3PQsNwmUjnQpw+JAW9mQjzidQV/Fyspe27x8N3cTaDuzqMa3OdZMO2+LOvs6m2 7tmku5mEPaHuS5N6MuaLg5d1wcsGXi57ES+fhbN5uQYe/xh4X5ef8L6CT/EUGHisD6OsW56BhmE0 kYaJzhVfNNnFE6EVa17Uy3Y3qUaFa+Nlx393YUPgXAZPazOegB2bSddq09XbWtBpfRt+gp4f/hG+ lk/0oMfLuuDlGbw8MecrSg5ePg8nKNtGbx+HHwvi7f7/20vkb1KZ4CA4/1YYx1y3PQMEyKci7c tLqjidARJktf3MkkObNMxi6mAnafk30ic9TGgC6cy+CuTmxi3E6e20l3wmrPdvSft5OoOzap8YVQ 28VNLwhe1gUvB/CygZfPyrm8XAOPfxS8r8v3e1/Dp3gKDDzWhzHWLc8h3jAEJdS09391+c4Z9JvB y7rg5bHAy7qgfWB0j9dAf13OqP0ZfIqnwMBjfVD0GA1DkEFL++1fdkYDL+uCl8cCL+uC9o7xPV4D /XU5n/bn8CmeAgOP9UHRYzQMQQa0Hwv01AXtxwI9dUF7bdBfF7TvA3kFg1rog2JeaRiCDGg/Fuip C9qPBXrqgvbaoL8uaN8H8goGtdAHxbxe3E0TBEEQBEEQBEEQBEEQBEG44BeGIAPajwV66oL2Y4Ge uqC9NuivC9r3gbyCQS30QTGvNAxBBrQfC/TUBe3HAj11QXtt0F8XtO8DeQWDWuiDYl5pGIIMaD8W 6KkL2o8FeuqC9tqgvy5o3wfyCga10AfFvNIwBBnQfizQUxe0Hwv01AXttUF/XdC+D+QVDGqhD4p5 pWH4k7zdHpfr/fE+f/w0Xz3eYDBxjgVe1gUvjwVe1gUva4P3dcH7fcBTYOCxPijmlYahm3wulyVu b/P3E+/36+MSf/HVfNtE+v64X9d7LN3rZ3m7TWMevJdSXp85/qOcyeA+H5NG13sjI+/3x3VHz9o4 XoPG+NvjCjWUnbA6ZuaxZHtr20ztHvBy+V4/yzNexMs19v2SU/OPfR/i9shHqfpuIj32+lh22Zk7 WmM6Sp5sXmfizeg6ZvBy+V4/C15+Tar+yuq+5j/j2Dip35o+nSn5ezqwMmccm+uKY07g/fK9fhY1 71e9MFOrv4RPPBer21qebvi0ui0bb43Vy3iqfK+f5QyeynnWY8fqeLuGS6j5aK92s+3LNXz0uIii /xt+tzyE2D4nFdct2g3DuVjWInl73CIzjzaRlh5UJWP1pnteK5zG4F7H21SLLX2mWo3183oWFhyb cey4t21NGMXjQg2VZWuN6bZF1+U9Z59b22YaucDLM25fvPxitPySs+OfqA78omcZtHXcrE2xhuy4 eYuvn9iT9TE9RU82rjMZ3z6nCzC8PONzU8l7Z/Dyd9Dyl9u28zxcaIzT9FvDp4av19q6Yf6cnOPA XFccM4D3Z3xOt5Ds7t/YYXjEb9rbRqvHWOvW0VTyfj2+e4AVLZViD3MZ6a8XnLNfkefspTOcc9 1qjjp+rRxpl3zo/NWGu34ZUCTx3na+aZZ9q0Laqx0nNSa90SoGFYLMgw8biJxmIpqnnyte/XGrJF UyjCsD0bOzl22nZ3RRxNfNWxZ0O4/f222ah74y0UJlLHxvT5fa/btoZJx9xsL95LPa+18dd9t9fZ zHWBcxjc7i3N74aKdmsK98Zpf789zr6fPxYpjOnrIL7OuZbdLq1tntq1BPByBF5+Mey+5o+HSHUo 4Rehm7ooHZd7KWJ37nDUrsX2bV9rfJ3ba95eG16OwMsCpDp5vDZxPhseXtiOc8RvxnZf0zAbtzln xP9cojLmDN6PwPufIL3/Fbu22vaZTz0XHYVtPufxmKsXWz59xsPhHOk2PBUh5qmc5z2W3rPjqXo8 5KMZn795HP/P8XEHa373ODt/dl9PXOf2/jXXLeL/SnIokJoJfZEk1TMVYlQ0aRFtx0onh6xYfVFP 25fjW2PP+xaKuz5eTL6vEY6xS8wns+QacnPFhp1Ij23dy/w5yWt+/JzL/FqW8+/luswZDL7mpqZZ IM9pvv/+OOXv68eFz+uDreSZ8pheG6/ddntr29494OWYcIxdYu6H5Brw8jdg92VRrsuUmrZG0Hi7 vXDcrOk1voY5p7mG5fOWr2XVu3Wt2XVuFmZprTrwckw4xi4RL49IWXufL5/PWm3kFPY74LdA+D4+ dq2BdNy8VtLt4Z9rc11tTAPvx4Rj7BJz/yTXgPczyjld762W80Cek/L+rTHK23weSp5u+fSwh+fx sw14KiYcY5eY5yu5hgE8lfO8xwp5fKIe8zwUx5vJ78d/9uepH+N45rhVh3Tb8esM95p/r7hu4b9h OBGKzUU6oZYMn+Ank9Tcye7OZFaQyb4z8facZP+COZ8ar22E4KV0Ygy47fZdeg252XIDJ2TXWspr cnzp3pJr2cl1hZc3eHLfNc0C28ku5NDvf2icwvfPnn+jUf2YxWMFjYrbDlwLXo7By69M2S85FW1d PnxN13QpHOePiWrA6xDynOvtcJql5y2MmWhZO2f5OldfugiNzHgXvByDl8enpv2cc1f3O3kLlMdp +q3m00TfdNxjc0bA72vjNMY08H4M3v84hZwm113LeeBYjbfGqG9b6rkw/uLFzKetbSuFOpzAUzHR uH68sT2V87zHynk8Vo/zfWfX6I5t6hKxnKd6n08cl+Q4va/d63S59vc6ReFGFdctNAwjfAFFk0nJ 8GGfuYh8pMWY7B6b2xdfe+Krj10wyIHxVo5OpPG5LdZ8eEOGnTf3um4L1O9l3pbcTHZ86d6Sc+7k usJrGzy/p5pmAZ/D5H5t//Dfn9gfJ//+ufNPCS9M2qVj0v1CXTQezn7bsWvByzF4+bUp+SWnpu1K 0KKcz+S4Td7XffwYxbkjPm/+Xfi8Xn/pmJXydRrbXODlGLw8PiXt03oKWq06l6nVUEx97gnncJrm 2qXj+v125wzDztce08D7MXj/4+Q5za8p357ic7Bb460xStue8XTdp7Vt22sO4KkYLU/lPO+xWh5j 6rXq7zu5xvJ42/3SMUNut145flyev/Q6jl6nI4yZaqW4bqFhmJAWmC+S2BG5wf3kY5/z4pyIzZ3s OxNvb45dMOfeeAkVI8TnLI2XY/sU9m1OhNn+m7xOJMcXr8XlwCaPnVxXeG2DB43Th88cpfvKc7zk 5Og4eU08eX6vUT6Zb+usNSnXt90PXQtejojPWRovx/Yp7IuXO+DzsF38pFS0jSmOUzhus1+0T65p SYPNmF8xP8xszo+XE+JzlsbLsX0K++LlV2Wrff152MregX1y3WO8pk6/HX9vxihobRwdc94d70fE 5yyNl2P7FPbV836e02P1t5DnqHRPm3PEbLc95enN+SOK2wo1OIOnIuJzFus4w/Yp7HsGT+U877FG jRr5vcdsthXuw99n+t0xrzxz3M575KHrnPFamS4BxXWLdMPQFVpSjL6A1qLYFGJWYN78y+dCsbn9 l+NDoS8wU4F6773By7MJHujZdQMN68//pdyZw58z7XnYmweS/u1LnBs+Pn88TnSI/Zy3WZcxk8 1yPPSVYTWc5X8nGM2vdGuv3tlk6WXq9Nvgtj5tc1152/7ta2hPK14uUZvPxytP2yzUmgoJvTNs9d lP9A4bj8O6+jXdORuaM0Zky2/dB1OrJan8HLM3hZhIKumT5WCyGf29wHCuMkFOox1y8+50I+blbr 0bUeWxs4yteK92fw/ifZy1e+Pb+neo2vtM5R2JaPkXg6JqudhPK2unfx1IKgp3Ke99hejvJ6zO8j 0zHLk6NYu/l+Ba989LhAfl+N63RjRAOUzqu4buH/6Ykr9KloQqQLHys8t82KLEwK9p3rYFsRHTB3 NJ4vPvc52l4fuzSRTuyMt5Lfp4vsXj2F/bLxgnG215JOhK17majlNU2ev2cbI72OA7kucC6Dh3us T8oTif4lPR35OFle51i3G9lxfjKNjkly3R4zroX4e0dr20p+DwG8bIGXX46mX2Ztlptu+SfXMdZ6 x8tJTWU5TrY9MeZCuK71+8Z1ZtexHQsvr4GXx6btr1if+PulBpbkNsZJ6i8ew5HXUqneHGG/5Nhk 3Oi45lwXUxhzAu9b4P2P0fbUSrjG9fs5t/FFJ/rFerTO0T5Pf4+/Rc2fW2tnnCObffB/CUhZ6n co57rFHHiQbr/QTmfMYXmuyfa1Cv3Tif2/N89DgjXGeyrXqdeY1s60hr3RLgX0kGGdB+LNBTF7Qf C/TUBe21QX9d0L4P5BUMaqEPinmlYQgyoP1YoKcuaD8W6KkL2muD/rqgfR/IKxjUQh8U80rDEGRA +7FAT13QfizQUxe01wb9dUH7PpBXMKiFPijmlYYhyID2Y4GeuqD9WKCnLmivDfrrgvZ9IK9gUAt9 UMzrxd00QRAEQRAEQRAEQRAEQRCEC35hCDKg/Vigpy5oPxboqQvaa4P+uqB9H8grGNRCHxTzSsMQ ZED7sUBPXdB+LNBTF7TXBv11Qfs+kFcwqIU+KOaVhiHIgPZjgZ66oP1YoKcuaK8N+uuC9n0gr2BQ C31QzCsNQ5AB7ccCPXVB+7FAT13QXhv01wXt+0BewaAW+qCYVxqGL8Lb7fK43N7mT9ADJs6xwMu6 4OWxwMu64GVt8L4ueL8PeAoMPNYHxbzSMHy7PS6XaRKb46fmso9OpO/363Tdt8f2yPfH/frx+/HX c71Po4zDWQweNL08rvdt9m1biOujsIsn3S+tjxG2OfDyMfDyz5DW71a/dDteTsDLRfAy/BSf8bdt L61p8P4x8H6jjpKa2T5L0/oc+1nrwFPHGNFTOerP1z2vpNu3c4OvkWlbPuco5lW7Yfh+f1ynQlgn m7fH7Ycmj49OpP6ak3uY8Q+I0gSry+sbPGh5vb/5h2A+QfmJ7VB9pnWc1tYI2wJ4WZeX97Krx6j+ 8gUvXrZtAbysy+s/lyH34FPeb6xpHHhfl+Peb9SRz2v0op/lWetZG8BTYGg/X9te2Z0bXH1db9MY 22eXYl5pGDb+2mQTrXWf1zpzf9Vwx4VJLGx3k1b4a8e2U13aPz3vdiKNx3JRnxRLk/Dmu+q9uGua ruXuJt71PMePt7/w1O9t71j7vvfEfx6Dh7ykE9SsU61WG7QmxTNvw8sh1k14+WVJ6hMv59vwcoh1 E16G1+V574eaOtYwzOo0Bu+HXRyS3g/XF9fRtt7m/Pkv4n9+judrPPAK2/BUiHXTXAcCnsrh+bqS emVvbjDNw//SMJT/V5LNyKWimYopmoTTQrPjzPjrhGCTRHn/9Tx+ezRx5BNX/rn0UFjY/JUlTGrr 4a17sQkwncTS8x/JxXpvm2On8VezrWM9dY9fwHkMHnKaTFDzQ/8615mPKHd18vzHnHsbXs7HCvvi 5Rck1hUvb7bh5XyssC9ehtcjr52Y2rZQj6Vj8H4+VtgX75cI95bUUSvXos9aPJWPFfZV8FQOz1cj 02hnbvA6+c9B+7bHNOC/YTjhDe0LpjShzvjiSifOqLai4ppJJrft/qF4K5PPXMjptaT7pwQjLOO7 c7cmpOResmNn8kkuYScXyfk3k/zM0/f4ec5j8MIE5fMY5cbnb6vbgt9/ruutuOffNoGXJ5J7wcuv SeZnn8coNz5/W90W/P5zXW/FPf+2Cbw8kdwLXoYXo+Xh1jZPNgdG4P0JvH+Qch2t9RJqxjUB/P37 e42u39/jNrcLfv95nK0A59g2gacmknvR8VSO/PO15hX/faSD12rWuKA9DUMahgl+MowKKHyeC81H ffL42ES6fredSOPzWtQnmfj8bqy8uOv3cmwifSYX/t7jibQ0qX/gHj/LeQxemKCSenKUJ7ESQbv4 2JUzb8PLFnZtePkV8fmP84aXN9vwsoVdG16G1yXUXepho7ytPsfhfQu7Nrxfp15HK1H+Es0dR44P hPzGx668+jY8ZWHXpuOpHJ6vK0HfWdPq3BD+O6mr1uU5QzGvNAwTokkhLyZv/Prk8bGJdJ00thNp XMgH8Me48dJxPc17OTCRPpkLv388kZbu5SP3+EnOY/DCBLXoO38u7VNjc2zEibfh5YlkfLz8avjc 5wvJRd/585x3vFwDLxt4GV6Cpa7nzzHFbfU5Du9PJOPj/Tr1OlqI72/RwG+ZOHC8sTk24sW34amJ ZHwdT+XwfI1Y6if7Z4/NDXdfK9sm7xTRWl4xr9INQzf5JQ8Ob/q5gLIJwE8sjcnjyES6+atOVHzJ xLUUbnRtu8zHXNNxPc17eX4i3cuF33+5hjD+ei/TZ7/tI/f4Oc5j8FJusu+8JlZPYVvyII4E8bVm eo2wbQYv5/eCl1+HuU5y/TxZvrwmeNlw2/EyXoYX4pP+tnos1RXez+8F79fZu8b83rL9fd4GftbO 4Kn8XnQ8lSP9fG16JdPG67/W7kpZQ8W88v/0ZCqEtYOcFkuYMEKErnN98jgykab/H5bWicmRTqSO /NqmyCfIjGCG7aToqN/LgYl04plc+HuPr9WZdj42zfHz9/gZXt/gcX2ssUxUSR7jnM95XL7I89rK +Rm3BfAyXn5ZfM1k+XBhycXLCXgZL8Mrk9fEUX/vrGkm8D7e36dRR9mzNH+xz7eveZnvdfkiv/ej Nf5K2wJ4StdTOdrP1zz3mVeqc0NMGIOGIf9K8jdRmGzg29GeOMcDL+uCl8cCL+uCl7XB+7rg/T7g KTDwWB8U80rD8FtgIn0FmDjHAi/rgpfHAi/rgpe1wfu64P0+4Ckw8FgfFPNKw/BbYCJ9BZg4xwIv 64KXxwIv64KXtcH7uuD9PuApMPBYHxTzSsMQZED7sUBPXdB+LNBTF7TXBv11Qfs+kFcwqIU+KOb1 4m6aIAiCIAiCIAiCIAiCIAjCBb8wBBnQfizQUxe0Hwv01AXttUF/XdC+D+QVDGqhD4p5pWEIMqD9 WKCnLmg/FuipC9prg/66oH0fyCsY1EIfFPNKwxBkQPuxQE9d0H4s0FMXtNcG/XVB+z6QVzCohT4o 5pWGIciA9mOBnrqg/Vigpy5orw3664L2fSCvYFALfVDMKw3DKvy/iB8NJs6xwMu64OWxwMu64GVt 8L4ueL8PeAoMPNYHxbzSMHy7PS6XyxLrxMlEOhqnMPj7/XEt1mNGVrdr3B7ukPf7Nfk+Hqe1zWHb r/f3+ZuZ1rVl15Mfm57z+siHfrs9fxxe1mWEh3XVZzmHfZf5qnFccw740JjBY+txU8SD7swPeFmX Ebxc4pC/szpfY/857mg9H1vnLx/X8PDOde75u3UteF+Xp7x/dG08cdQ3tToNMdd2RNk3gWqNJ/Xc 43majTmBp8B49vlareOYrJ7WWD1THWfHx0c8lm9Lv//YmG3fbrePum5pod0wnAt3La63x+16n6ZQ BxPpaLy+waf6iycmP2FtFwM1fNPNFayr66WObUKcJ/LWtuX8b7720wmydW1uW3Sd3lfZZB6dc4Mb 63qbvJeec+84vKzLuR/WLZ/lNHyXzw/+c+7lwnGtOeCjYzY95o6LxszmBwde1uXcXi5hPjni7y2H nuP2ufh8bJ+/ftxz3lqus+nv/VzgfV2Oe9/qaK6f/DkV0/RNqx7jWnOnsPoOfMhvPZ6nzTEDeAqM 5z32yedWc5xWzbc81tjW5TnptkUeS55pgfHWLfvQMMyKYCWbSPNJet6+dqCzAo1n4M2EHgo17GLn Cd+FsfJrqp/LEQyyPbb2vSovb/BNnTzxMG/V8tPbwnmTCbR1bX6MvL5tzGzi3WDj5OfcOw4vKzPG wzqv+QIN3/maSBZCkWeemUsi73x8zL3xc8+kNYyXdRnDyyVCfTT9ndOq/WTb1kNbSudvHWc1P39s EV/LAX+XryWA93U57P3ms2eHYk2F41ve9Fotz8KP+S0dwxGN07yn+v01x5zBU2A8/3wNOnz+uVUY p1nzLY+1tmUk13LkuMJ1+jHyWk7HGXfdUkf8X0m2CapUUFEhbyZR99V0XDRZJpN4Vmzv99vjupjC fxFt315DPvYz51qofS/Mqxs80dVTmMgq5DWSsJmkI4rbtufduzZ/fj9Odqyvw6uv/+Whntey//zc cQ68rMsYD+us5gs0fbfxbliMu/La82tCPM6Hx7Tatyh4zI9bvg68rMsYXi5RrvUWeU0lxN70ddR+ PhbP3zzOat6i5L9A0Qv+2mr3XM8F3tflqPfbz54dNs80x97x4bm3bG/6xiiM2eN52hjTwFNgPP98 jevwGLl2ge04zZpveay1LSf2x6Hjyvfr78mPU94+7rqlDv8Nw4lQGC7iyTIUye0eCi6plbkI0/px k7Z9F0/gbpyp6KYitoLzplmKdj5PXMOu4JOJsnEuvz073lH7XphXN/h2Mg21mU9UW7YLhpXyZBeo bdt+f+TaFh/F++WLkLgu/T/bwz47Z+u4GbysyxgP663PcvZ8t9Z7qHlbsB+fS7bX8Pkx532zhfwy bjaGAy/rMoaXS+z7OyWuz5xsrAPPx+L5Dx0XKHk4UL7Olr+L1zKD93U56v1nnj0ptbqrfO/9Mdde LNRH/Tax1nKo5694ntbGNPAUGM8/XyveqBLXQcx2nGbNtzx2yH+O7Jyf8K1j8Ux2zY5x1y11aBhG hEnZiisU0XaCnZiLbp2wt/utE/9kJled7hhfdGHctWDzzxObibR9rnifpOhr34vySgYPtWZahoXA djKtT2QxpUnY8BPe09u2521fW/rASHzkJ+z4pcOOC//diNwHyzmrx61XgJd1OcvDOtSh6RzXs2Nb 0zlt3+WsPjx6XGt+CDw/ZiCeExrzwwxe1uUsXn6elj+2bP21svHpgedj8btDxxmpb43tde77u3Ue vK/LUe9va65Vtyv159v+8aH2Zq981G8bVq88d09lLwa22/AUGM8/X4/U8cq2jo3tOM2ab3ns4HPr y56TmadSzwTGXbfUoWGYEAonFMn6z5si9xNUXIQFbDKc/jcUohvPFZwrxG0BtyfSnXMt1B4qte+1 eHmDVya3tm51beuLpfY2O28ygTaurfkQ8PUbT7S27e6vO10czOHGqh63ngUv6zLGw3pb0xuemRPi fQ8c154DZp4ccyHyb3N+mMHLuozh5RLbOq9Tr4WiTyN/BUrnKnx36LiZzb6O7XUe8XfrPHhfl8Pe df0yjj6TVuTlz/h3xzYMz4Pp65p6IXZzbj4ClYef75GrRq1vFCK+eFcVo13/LYAf995XPy82vW MZFuGLqiSArHF7MVVyiQYITwzPq9Oiy3FGuj5utynmw1xB327TORJ3xeeZiSfSQ+cyCmN5at9r 8foGzybfZHINGqa1M33rJrbNg3beN588Pa1tRtgnrbnGteUPAT9J277ZWInHYvJz7h+Hl3UZ42Fd qofw3VpXrTkhJuy3jnVgLmnOAY7jY75N3ohvI1m85deczA8BvKzLGF4uUaqR8F1aa9O3H3yOL2Mn HjHq5y8d1/TwTPE6D/i7fC0BvK/Lce8feJ4tG+fPRd8YBQ1d3UaCpLWe7Z/UpVEYM+GLnqcJ+ZgB PAXG88/Xkhbhu1TT6dvic8sojbPv42X/Qp22tpX90TrOKFxncl0TO2tWFfh/euIKbSqEEHEhhW1r geQTc37sFFnB+kk+LjpfhPmElp9nwu2XjNU41zzmEjZQ7XthTmHweWIKum3rMdWxvFjYaG/hjm1t m8fLty3jV6/NDVs5xpEcl9e/Ee7vmePwsi7nfli3fDbXR6xxzXeZPxLvOGrHteaArxqz6J818nHx si7n9nKJJ/29qeGZvFYs7NjMq+uQrfNP1I7Lz5f5pnqdE3V/71zLBN7X5Snv1549pkUtzxZ+e6se c03jc0x8xG/ZMXHde2r3lN9DXHt7Y07gKTCOe+yAN1IBs1oxWuNMVH08UfXYRG1bXgMWtkN1zPZ1 Prdm1YB/JRlkQPuxQE9d0H4s0FMXtNcG/XVB+z6QVzCohT4o5pWGIciA9mOBnrqg/Vigpy5orw36 64L2fSCvYFALfVDMKw1DkAHtxwI9dUH7sUBPXdBeG/TXBe37QF7BoBb6oJhXGoYgA9qPBXrqgvZj gZ66oL026K8L2veBvIJBLfRBMa8Xd9MEQRAEQRAEQRAEQRAEQRAu+IUhyID2Y4GeuqD9WKCnLmiv DfrrgvZ9IK9gUAt9UMwrDUOQAe3HAj11QfuxQE9d0F4b9NcF7ftAXsGgFvqgmFcahiAD2o8FeuqC 9mOBnrqgvTborwva94G8gkEt9EExrzQMQQa0Hwv01AXtxwI9dUF7bdBfF7TvA3kFg1rog2JeaRiC DGg/FuipC9qPBXrqgvbaoL8uaN8H8goGtdAHxbyKNwzfH/fr5XG5xHF7vM1bYSyYOE/G2y3x5vX+ Pm8I4GVd8PJr8n6/Fr06bXhcI2/eMmPiZV3w8vkx35e8mm7D+7CC9+s0fcPaGA6Cx+q0nlvG2y1s b3tMAxqG00QaF4IvjnxFA0PAxHkm3h63y/WxWNM3HKLPE3hZF7z8aji/Ov+9bXy4bpu/8y87eBkC ePnsTP6+3ifXzp9ir7rndrQtvKClL2Z4Xxe8X6HpG9bGcBw8VqPx3DLcWvV6m/bL17SaeaVhmBeC L5C1iMJkPBXSHGs9hWNvb+FlKGxPJ20/VnSsj2WAcPy6jb/49IaJ80R438WeyBZJE3hZF7z8qlR8 mHjC/DZMDLuuDlsfDNjdirMR9obuD9ccH7B4l94/+ZtTEcA48dY/vcstov+GdCMa80DJNCmCe3 ZbKbJsmogNKCsolwnTzTDnU6iftj11k42zcfG3rAxHkuvEf8AuPIhI2XlcDLr8rWq1s/bPfBy7rg 5ZFw/to+qxd8cyFtGuB9XfD+QTLf+FplbQwHwGNH2D631lo+4jENaBj6yXCNvCgSkr/shGOjudDN jutkmP8VaLNtnWQD6cQLXw8T5/kIC6MpCosMvKwLXn5Vtour0kuC83W8D17WBS8PgPOR+TUxX8x2 bnDgfV3w/hHKvmFtDEfAYw1qz62CB9rPLQ1oGMaF4Isnmvwm/MtONNGu23cm0mxiTP7S4osxHtOC ibQnTJxnwvln9VfwYeoPvKwLXn5VtourbcNwuw9e1gUvj0XwZupXh/daMg8E8L4ueH+frW9YG8Nx 8Ngx1udWXvOZf2YU80rDMCmEnYnVT4AHJ9LNZFkbB74LJs7z4CfvZJG0nbTxsi54+VXZ+nTjvYLf 8LIueHkwvI/SpkCtWejA+7rg/TYl37A2hmfAYwfx9eqeW6Ehv9Z0FJHvFPNKwzCbaJPJM5tI/eR9 dCJ1/5xsjCmcF7rDxHkiMu/ZwiS2FF7WBS+/KiU/pL+IyL3owMu64OWT457NkafWX2r4T95T8YtW Dt7XBe/XaPgm8wBrY2iBxyo0n1sx5TpWzCsNw00hpC83YfIMcb3fp20HJ1L/cT02707b8fXt8NUw cZ6L3D/tCRsvK4GXX43yX2UXP84vNeH77b+ShJd1wctnJ/dM5GvdhLFpFB8b4ueL/Cjm/yOmZt DDXwWI28Nmv/qnzJP5p5FW8Y9mP7s/EwseZFB98HE+dY4GVd8PJY4GVd8LI2eF8XvN8HPAUGHuuD Yl5pGHbCTZrpT7XLXWr4Ppg4xwIv64KXxwIv64KXtcH7uuD9PuApMPBYHxTzSsOwG2HijH+KzST6 szBxjgVe1gUvjwVe1gUva4P3dcH7fcBTYOCxPijmlYYhyID2Y4GeuqD9WKCnLmivDfrrgvZ9IK9g UAt9UMzrxd00QRAEQRAEQRAEQRAEQRCEC35hCDKg/Vigpy5oPxboqQvaa4P+uqB9H8grGNRCHxTz SsMQZED7sUBPXdB+LNBTF7TXBv11Qfs+kFcwqIU+KOaVhiHIgPZjgZ66oP1YoKcuaK8N+uuC9n0g r2BQC31QzCsNQ5AB7ccCPXVB+7FAT13QXhv01wXt+0BewaAW+qCYVxqGIAPajwV66oL2Y4GeuqC9 NuivC9r3gbyCQS30QTGv4g3D98f9enlcLpfH7W3+Kubt5rddrvdpT/sq/bzHs/tDP5g4X4/3+zV4 zMftsdpw9eYSmUnxsi54+dVo+7Xu8wBe1gUvj4P31eTN6z1y1vv9cV28v/U03tcF77dJn5vXh9kq /R5PQR08Vufr3j81oGE4FcX1OhVNYbJzk+DtNk2mTIRDwMT5arw9bvkiZZmUgzeLC5wZvKwLXn41 Wn5t+TyAl3XBy4PgGg/X2+T1uGE4eX962Vo+++bE2vhw4H1d8H4d38wo1blrwEffh6ZH+kc4PAUG Hqvxle+fGtAw9EXhFjXpIsZPym4S9ougvaIKi6LQiU7H2e7vtsf7u4k+jLM9vlC0yfU8O542TJyv TbpAKtR+Bl7WBS+/GoX6rlB6EcLLuuDlETBPhP9NG4Su9o2td/C+Lni/RqH+a3hfpPviKTDw2DE+ 9/6pAQ3DuSjchBf/axS+eMKG3Yk0nqzS7bX93WQXf14Lc7doNxPpM+Npw8T5yoTFwOrBtZZrCwK8 rAtefjXWeq35NZD7PICXdcHL52fx5Vzr5tltnafbHXhfF7xfYW4CXufa8ZEUXYSrv6XeAngKDDx2 hM++f2pAw9AmqmTSdcUzF8iBibQ+0e3vv0zYRnIde+M/O542TJwviK/PeVJOCj3F13VWx3hZF7z8 2mz86mu37nO8rAtePjn2K6Xwwdd+vWEYvHekYZh6BO+PCN6v4GskalJ4j2V15wn1FvvJgafAwGMN fN1Mtfvp908NaBguE5GbPOd/jierZOJyH5lIzwoT52tTmpRXIn/O4GVd8PKrs/WrUfI5XtYFL5+Z vNbD53rDMN3uwPu64P0KmxoJdZU3Bn0tJ/4K4Ckw8NgxfE1Va2i7nlXMKw3DaCKySchNfsvEzEQ6 DEycL07hv8WyUNiGl3XByy8OXsbLB8HLZya8SC2/0ojD+WFT51tv4H1d8H6FzTMy1FXcMPR1HNV1 DJ4CA48d5FNrVg1oGMYTkS+KaeKLJ54fnUiz4+36mEg/BBPni+HqOapVX7tzrb7d0snZ+yDylQMv 64KXX4umXxs+N/CyLnh5JELtr42N7JcZhbrH+7rg/RqZj3zN2DM2bItrOgdPgYHHKrg6i2rI19Rc Q8+/f2pAwzCZiMLnzUT0gxPp9EX0F9zp+2R8JtJnYOJ8NWa/LfUdTdK+bqNt2WTtwMu64OUXw9em 1fYUiV9nLy7b08WYAy/rgpdHItR+/EuoqfjnBoULvL8dTxe83yDxTVRTvn7W75eIagxPgYHHasw+ WOruM++fGog3DEEJtB8L9NQF7ccCPXVBe23QXxe07wN5BYNa6INiXmkYggxoPxboqQvajwV66oL2 2qC/LmjfB/IKBrXQB8W80jAEGdB+LNBTF7QfC/TUBe21QX9d0L4P5BUMaqEPinmlYQgyoP1YoKcu aD8W6KkL2muD/rqgfR/IKxjUQh8U83pxN00QBEEQBEEQBEEQBEEQBOGCXxiCDGg/FuipC9qPBXrq gvbaoL8uaN8H8goGtdAHxbzSMAQZ0H4s0FMXtB8L9NQF7bVBf13Qvg/kFQxqoQ+KeaVhCDKg/Vig py5oPxboqQvaa4P+uqB9H8grGNRCHxTzSsMQZED7sUBPXdB+LNBTF7TXBv11Qfs+kFcwqIU+KOaV hiHIgPZjgZ66oP1YoKcuaK8N+uuC9n0gr2BQC31QzKt4w/D9cb9eHpfL5XF7m7+Kebv5bZfrfdrz c7zdvmYc+DhMnK+L98fktet9dcj7/Rr85+P2yC2Kl3XBy69J6tnrw+yMl6EGXj455sdNBJ+n3t96 Gu/rgvcbJL5an6We9/vjumzDU1AHj7WprVmb/ptQzCsNw2kivV6ngilMcm7yu92momECHAImzhfF TczX2+PmvLjO1tPn1Xd+IZKtdvCyLnj59fALr6K/8DLUwcvjsXjcNTYin4aXs/QPBnhfF7xfwTcr 8uaF+WZ6nl6itXK+7wSeAgOP1amuWZv+CyjmlYbhNJHe3twEnHWQ/V9wpgJxhRIXVO0vO/77aIzs c/qS5M7rtoWJP4zlijFcz7ajbdc5f3Qk1/XseJowcb4iVtvhf+NfGMaUJna8rAtefjUKvquAl2vj aYKXByP3XExhG97XBe+X2T4jIz+4OvO1ZGxrEU+BgcdqFPww0/TfjGJeaRjOE5Sb6Db/OmTYEBXO VDRREeVFtX4O48bjbSdSm+ziz+tkmY69XufCZiJ9ZjxNmDhfj8Vnc82WG4ZhgZBvw8u64OUXY35x uM616iMpcgMv4+UUvDwWqacynD8WPwTwvi54v8LGJ+G56WpnWzehtuLaxlNg4LEKrTVrw3+GYl5p GNoElRSIK465m5xMWBm+4LZFVfrpd2kijYtvmbiN5HqOTaTHx9OEifPFSPwTajhefISazSbyCLys C15+MXxNRn+B9X6K6thvx8t4eQteHongtcQTC8EPyTN+Au/rgvfr+Pq0Z+ZU+66x4crH11Ghlo80 DNOaw1MK4LEKvlbqa9aa/wzFvNIwXIogWujEk1QyYc0T1FJELrLJyRdhWlgOJtKfh4nzlchrNnzO XyaM4Lu0fvGyLnj5xdjUZN3PeLk2niZ4eRx8fUe+jPFeK2zD+7rg/aOsXth6LNTaoYYhnpIDj1XY 1MrWRyuRb2YU80rDMJqAbPJxk95SNPGElRdY8S8v18f9vp20mEh/HibOVyJMwOmiZI5o4bLgvRb9 NWgCL+uCl1+MjT9DHRcXX3h5/jSBl/HyMGxfqgzvs9JzfQLv64L3DxLXyqZutrWGp8DAYxWeWbMW 6koxrzQM4wnIF9A04cWFEU9YWdH4yTH/7AcL48YT2ecm0ux4u04m0qdg4nxlssna1XhUv76es/rF y7rg5Vcj86+v0XkxhpcX8PIWvDwGJV+bB1ZPbMH7uuD9I4RG/NrIyBrzhTrCU2DgsRqhnopr1oTc fwHFvNIwTCag7QToiyha7ITJM8T1fp8KaZ6c8onKT3Zr8X12Ip2+8EUbzj19n1wXE+kRmDhfmWzy nj8vvzosTOR4WRe8/IIsLyIh1pLFywZe3oKXR6D8UhXqe/XmEpEH8L4ueL9C9izd+CrZzvN0AU9t wGMNMp+tpbvjvwnFvIo3DEEJtB8L9NQF7ccCPXVBe23QXxe07wN5BYNa6INiXmkYggxoPxboqQva jwV66oL22qC/LmjfB/IKBrXQB8W80jAEGdB+LNBTF7QfC/TUBe21QX9d0L4P5BUMaqEPinmlYQgy oP1YoKcuaD8W6KkL2muD/rqgfR/IKxjUQh8U83pxN00QBEEQBEEQBEEQBEEQBOGCXxiCDGg/Fuip C9qPBXrqgvbaoL8uaN8H8goGtdAHxbzSMAQZ0H4s0FMXtB8L9NQF7bVBf13Qvg/kFQxqoQ+KeaVh CDKg/Vigpy5oPxboqQvaa4P+uqB9H8grGNRCHxTzSsMQZED7sUBPXdB+LNBTF7TXBv11Qfs+kFcw qIU+KOaVhiHIgPZjgZ66oP1YoKcuaK8N+uuC9n0gr2BQC31QzCsNw7fb43K5LHF7m7+H4WDi/Dne 71fvr+v9ff5mpbot82a+HS/rgpd/jqJfM++tcXuYDe24ENdHfDhe1gUvn4fys/r9cb+uXvURGTb1 /TofGHhfF3Xvp95Ia7267cCzFk+BwfO19txaebsFX+TbW8cp5lW7Yfh+f1yTyfPtcbvep+UPjAgT 508wecpPuG/+pSKdePe2RU0F79VGkwEvS4GXf4KWX7f4RdhsSL/wavgRL+uCl89Ay/uhYVhuQqTe jecEA+/rIu19V+tRbYfmxNz0a20rkPsKT4Gh/XxtPbdmXDP9eps8EW/fP04xrzQMsybESmER5AvL Jlq33R0bCiv85cZN6PFfW2tjw0+gPXH+NMEX5SZDYZv3ZrxAcj7baxjiZRXw8k/S8vJM4setd3Pw si54+UyUvF/wZIXSHw7wvi54P6JV+09uw1Ng4DFHqNftmtXqv729tNZVzKv4v5Jsk15pwrNCmj86 NhOpTZ7x5/WYvV9VwPfCxPmT1Cfe2rbwM/F1cZJvx8u64OWfpOzHmOQXD/MLy3X2lI/EjHhZGbx8 JkreXz0WotZACE0HnuNg4P0IV8tL7WY0tu3+anfxAZ5SBI85Qt3mzx5fu76Qy9vr32vmlf+G4URo TOQTaiiUvYk03r4W30zrAQDfDhPnT1KfeFvbFm8WFiR4WRe8/JO0vOwIjYHFPt47kR99AzH1G17W BS+fiT3vz36L/eX9Nns5MW4A7+uC942Wr1rbsmftDJ4CA485Ch7y61Cr25rH6t5TzCsNw4iw0LHJ lIl0NJg4f5L6xFveli6EUm8G8LIuePknaXl59s7irYmNd7bH42Vd8PKZaHs/UG5iOIKXU+/hfV3w fsA38+JnZkRrm6/vwjY8BQYec+TPrbyu8+1G7XvNvNIwTIiLKC+oCSbSU8PE+ZPUJ97Stu1CaLsP XtYFL/8kWy+uFJoFm/+GEl6GFbx8Jlren2n9N9MK2/C+LnjfleTHmoXT1mpjHk+BgcccoY7X51bw zvLL9zgSv+XHrSjmVbph6Ca+pBD8xLcuZvxkbRPj/K9RMZGeFybOn6Q+8Ra35d6Z/RfbCy/rgpd/ krqXvW82Psn2z7zpwMu64OUzsfX+2y31ctLkcP6MvFeaH/C+LtreD/W61m9Ma1ug5CUDT4HB89Wx fW6l1LbXj1PMK/9PT9yk7CZIH+nCZ5oJoy70NCG6iZGJ9LQwcf4E5b/khAm4tc3Zp/y9gZd1wcs/ Qduvtr20uFpeROaIreXAy7rg5TPQ8L73U/R90uTY8zLeV0ba+7lvLFy9traFg+vP2gk8BYb287Xx 3EoIdZ6vZVvHKeaVfyUZZED7sUBPXdB+LNBTF7TXBv11Qfs+kFcwqIU+KOaVhiHIgPZjgZ66oP1Y oKcuaK8N+uuC9n0gr2BQC31QzCsNQ5AB7ccCPXVB+7FAT13QXhv01wXt+0BewaAW+qCYVxqGIAPa jwV66oL2Y4GeuqC9NuivC9r3gbyCQS30QTGvF3fTBEEQBEEQBEEQBEEQBEEQLviFIciA9mOBnrqg /Vigpy5orw3664L2fSCvYFALfVDMKw1DkAHtxwI9dUH7sUBPXdBeG/TXBe37QF7BoBb6oJhXGoYg A9qPBXrqgvZjgZ66oL026K8L2veBvIJBLfRBMa80DEEGtB8L9NQF7ccCPXVBe23QXxe07wN5BYNa 6INiXmkYggxoPxboqQvajwV66oL22qC/LmjfB/IKBrXQB8W80jB0vN8f18vlcbG43h/v86bevN+v j8vtbf4EPWHiPBfeG4svb4/cJXhZF7x8LvAy1MDLY4P3oQbe/xh4Co6Cxz7Ghzw2ODQM325TMVwf 92jmdIVyjb/oCBPp98HEeSbeHrdoQfN2mybtzCd4WRe8fCbwMtTByyOD96EO3v8IeAqOg8c+wgc8 JoB4w3Aqisvl0Z7H3h/361QsxU5z2JYc7ybmpdBsezhPON4m7Xzcy7dN3qowcZ4Xv+CIJnAHXtYF L58XvAwxeFkHvA8xeP/z4Clogcc+z77HNNBuGPqfaMcTY8482UUzpS+c5ZhjE+k6ebrNhfHaMzl8 EUycZyUsRPKFBl7WBS+fFbwMKXhZBbwPKXj/s+ApaIPHPssBj4mg3TB0k15rIi1OtK54bGI8NpHW tzORfidMnCfD+9MtRNLFh4GXdcHLJwMvQwW8PDh4Hyrg/Q+Cp+AgeOyDPOMxEWgYtibS4vZ4cmQi PRNMnOfF+yTzIl7WBS+fF7wMMXhZB7wPMXj/8+ApaIHHPs+ux0Tgv2F4ySa6GP7yMhRMnCfGe9F8 F8DLuuDlE4OXIQIvC4H3IQLvfwF4ChrgsS9g12MaiDcM54ksKwT3Xfj31cNEGE90fv9oIkz+Ww2+ qKbPz06k0WfoBxPniXBeyn2XLWrwsi54+UTgZWiAlwcG70MDvP8B8BQ8AR77AB/wmALyDUNHKIZp ArRIJrbw15nyNke8fSqoZKLcn0iXyXeKMHlDL5g4z8S8iFm8lS52HHhZF7x8JvAy1MHLI4P3oQ7e /wh4Co6Dxz7Cxzw2OjQMQQa0Hwv01AXtxwI9dUF7bdBfF7TvA3kFg1rog2JeaRiCDGg/FuipC9qP BXrqgvbaoL8uaN8H8goGtdAHxbzSMAQZ0H4s0FMXtB8L9NQF7bVBf13Qvg/kFQxqoQ+KeaVhCDKg /Vigpy5oPxboqQvaa4P+uqB9H8grGNRCHxTzKtcwXP8jlgRBEARBEARBEARBEASxH2pcXJdUKUqi EwRBEARBEARBEARBEEQtSj2mkYN/JRlkQPuxQE9d0H4s0FMXtNcG/XVB+z6QVzCohT4o5pWGIciA 9mOBnrqg/Vigpy5orw3664L2fSCvYFALfVDMKw1DkAHtxwI9dUH7sUBPXdBeG/TXBe37QF7BoBb6 oJhXGoYgA9qPBXrqgvZjgZ66oL026K8L2veBvIJBLfRBMa80DEEGtB8L9NQF7ccCPXVBe23QXxe0 7wN5BYNa6INiXmkYggxoPxboqQvajwV66oL22qC/LmjfB/IKBrXQB8W80jAEGdB+LNBTF7QfC/TU Be21QX9d0L4P5BUMaqEPinmlYQgyoP1YoKcuaD8W6KkL2muD/rqgfR/IKxjUQh8U80rDEGRA+7FA T13QfizQUxe01wb9dUH7PpBXMKiFPijmlYYhyID2Y4GeuqD9WKCnLmivDfrrgvZ9IK9gUAt9UMwr DUOQAe3HAj11QfuxQE9d0F4b9NcF7ftAXsGgFvqgmFcahiAD2o8FeuqC9mOBnrqgvTborwva94G8 gkEt9EExrzQMQQa0Hwv01AXtxwI9dUF7bdBfF7TvA3kFg1rog2JeaRiCDGg/FuipC9qPBXrqgvba oL8uaN8H8goGtdAHxbzSMAQZ0H4s0FMXtB8L9NQF7bVBf13Qvg/kFQxqoQ+KeaVhCDKg/Vigpy5o PxboqQvaa4P+uqB9H8grGNRCHxTzSsMQZED7sUBPXdB+LNBTF7TXBv11Qfs+kFcwqIU+KOaVhiHI gPZjgZ66oP1YoKcuaK8N+uuC9n0gr2BQC31QzOvF3TRBEARBEARBEARBEARBEIQLfmEIMqD9WKCn Lmg/FuipC9prg/66oH0fyCsY1EIfFPNKwxBkQPuxQE9d0H4s0FMXtNcG/XVB+z6QVzCohT4o5pWG IciA9mOBnrqg/Vigpy5orw3664L2fSCvYFALfVDMKw1DkAHtxwI9dUH7sUBPXdBeG/TXBe37QF7B oBb6oJhXGoYgA9qPBXrqgvZjgZ66oL026K8L2veBvIJBLfRBMa80DEEGtB8L9NQF7ccCPXVBe23Q Xxe07wN5BYNa6INiXmkYggxoPxboqQvajwV66oL22qC/LmjfB/IKBrXQB8W80jAEGdB+LNBTF7Qf C/TUBe21QX9d0L4P5BUMaqEPinmlYQgyoP1YoKcuaD8W6KkL2muD/rqgfR/IKxjUQh8U80rDEGRA +7FAT13QfizQUxe01wb9dUH7PpBXMKiFPijmlYYhyID2Y4GeuqD9WKCnLmivDfrrgvZ9IK9gUAt9 UMwrDUOQAe3HAj11QfuxQE9d0F4b9NcF7ftAXsGgFvqgmFcahiAD2o8FeuqC9mOBnrqgvTborwva 94G8gkEt9EExrzQMQQa0Hwv01AXtxwI9dUF7bdBfF7TvA3kFg1rog2JeaRiCDGg/FuipC9qPBXrq gvbaoL8uaN8H8goGtdAHxbzSMAQZ0H4s0FMXtB8L9NQF7bVBf13Qvg/kFQxqoQ+KeaVhCDKg/Vig py5oPxboqQvaa4P+uqB9H8grGNRCHxTzSsMQZED7sUBPXdB+LNBTF7TXBv11Qfs+kFcwqIU+KOb1 4m5aKUKPlFCNUk0Q54ySvoROlGqCOGeU9CV0olQThEaU6oHQiVJNEJ+LUp4J3SjVCEE8G66axNia iVAKGIeSvoROwDiU9CV0AnQp1QOhE/D1lPJM6AZ8Na6BpoZgJeVGIrQCxqGkL6ETMA4lfQmdAF1K 9UDoBHw9pTwTugFfDQ1DCXIjEVoB41DSl9AJGIeSvoROgC6leiB0Ar6eUp4J3YCvhoahBLmRCK2A cSjpS+gEjENJX0InQJdSPRA6AV9PKc+EbsBXQ8NQgtxIXx/36+Vxeytv24tnj327XR6XKUrbiFLA OJT0/drAy68cMA4lfb828PIrB+hSqoevDbz/ygFfTynPXxt46kwBXw0NQwlSI/mJ6JLGW7bPs9Fz IvXXO+3zHn+OJtJ8+/s93U6cmPf74xrV6e1t/r7E2y2p6ev9fd4QeL9fi99/6LjsmDVuk5cmate9 c5ydy2J7v6m2eFktXpyv8uvOODUvt/yz7y13SWHbMu6ezyfK1/LuvZAcszlhqi1eVovB+ArvN/22 46nWfDKz8bejcVw6Z6ye9xw+rpSLtBbwvloc5AvXv45i/U+k9Xp9LJs/6o2J8nNxIhkzOpejcb97 58tzjKfU4yA/+tzaXyd+xJt791Qbc89jNAwlSI3kJp7rNNnYZz/xTAXymcm050SaRz6R5sFEmsdZ eXvcprpMJ+VsgbHg9o22+QnTPts4b77W0gXMR4/bEurSTbHPXHd0nDv39T49QgJh8s4n7VRbvKwW r8wzdX/Ed6VxGp5s+eeIt9x5rrfHbcfrW5+X5oewEMwXaimptnhZLUbiq7y/ZfVby1MHxiz6u3Xc tC2aM9br8J/qxx2Za7JawPtqcQRXY1/oqcrzzddnVK8rn/GGO0fhuZjfg/9s3mjdb+t8RppjPKUe R2jVXI7bt+aHLWuNtp5b7XXih73ZuKfmmDseo2EoQWqkfCJ14QrMJjP3z/d5co0nWFfY9l0+8dpk 6I617ff3dftj+ue043382HzibH3Or9HdZ76/7ZfnYNw4KcliwtGYXP2EGe+bTaiecHyygPnocTnx hP30defnmyluS7XFy2E/vPwCfJVfD43zpCdzNtvsHDvjFscsHVO65pxUW7wc9sPLJ+TLn9Uzid8+ M6Ydm3n1iWtJXrQ+fA9GWgt4P+yH9yO+1FOV+t/sF/FRbyzk5yrtF435xP2Wz5fmGE+F/XQ8lccB fvq51dz2QW8276kxZkbJYzQMJUiNtJlI50nOJi+b0PKJMp6M8r/W+O3RGPl291et5KfU0ee9Y5+Z SF1s/vIyTdLxePn9jhZDthhYmv9jLv68BPlLX9yt9/9LiYUINhin7muuPjNmwmfkeqrTseL6 Gz9el6/y67Fx9j05nWAev0C2zZ/T+/DANW/8Wr8+V6shSou0VFs3Nl5ezzd+jMPXP6sDoYYWly41 GSL1VGvMlr+PXYt70frIcRM8x8Px0We8v89Xeqpa/3Nj4zrr7SN6vrXGXNl6I1A4ZuOFcKw75fH7 rZ0vzbG7djy1nk8v9vn551Zj2we92bynnTFXyh6jYShBaiRXaPFE6gtvKiCb2MIEvm63iSeeWG0/ m4xcQSbHZNuTyMbbOzaYb92293kzkU4R31Np+9hxTrYTX5gka5O0w9fCpHV+XKA+yX/0uMC66HEc v+70uJTaOVNtw7jpZ7w8crwuX+XXY+PsebK1PduW/LW2dVzNr3vX4k4x3VPyouRItQ33mH7GyyPH OHz9s9rRej6WPVUc84C/q9fiGxzztsKF7N9DbW5IayHkKv2M90eOfb7MU6369/WdNymcLvPnieKY jh1vbM41s4znIzQv3OG797t7vjTH4dj0M55Sin1e5bllJNs+6M3mPe2NueMxGoYSpEZaiswimkRd xJOOj+mf3X75RBpPgLXJMJm87Hxz7E2k9p2/3ils297n0kQZf1c639hxTrYTX+vFvNC0iydGT+n4 jx63kl0eve7rfia7q4LdUWL2/PN3a8LkfrPlD33bFx2p6s+yffFsZZ10b1cet+bV9LoLSITLX1 1zX7ycc0Jl4eOcbhq7wfU/ebEY9TG3PP38euxRG22YvesePSuSYmrQW8vz3f2LHPtv4/4qmd+vcN grh5EW//qDeM1vUa6zmeud/y+dIc46nt+bRin2dq7qgftmPmpOOkRNs+6M3mPTXHTAljph6jYShB aiQ38cR/eckjnsR8fPYvL9P3yUT8A395Wc6ZnVsjTkplcitNtM1JcmH73UePWylM/oeuu/7Q8PVc feCk2uLl9dwa8cJ8lV8PjVP3ZMs/223Bh/ECf4nCfqV7aV3Lgv9Lbr64TLV114aXs+1Dx0B8+bO6 5beZyFP1Me9+nI23XUz7vx26lplD51u/2c41MWkt4P313BpxgC/xVLv+3zfPpbWOj/l0pvh8a+xv xPf4xP2Wz5fmGE+t59aMA/zwc2tDvO2j3mzdU2PMDYXrpGEoQWqkpyfSKVxRbSar6Tv7i43fHk1+ yfZsIvUTX/S5eaztH5370EQaHW9h59lMssPHWckm32QiDBPd8rPpfJL0k10+cRcmx48eN+Mn7mRy drSuO1A+br6n5EGQk2qLl9Pvx49X5qv8uu8fGy/1ZMs/R7zlKI3rLq/kV2N7zNstXWj5ut6cO9XW 7YOXlWIkvvZZXfJb01MHxgxkXm0d5/45GiC5pub5jsw1aS24e8H7SnGEr17/OvJnVckPs88+6o2F /Fw54f7W7Y37PXS+NMd4Kv1eL47ws8+t9jrxg948cE/FMQ94jIahBKmRXFE+O5Ha934icpFNVK4I 79MxrmhtH5soXXgjzN+7c7ux4ol099gpjn62v7LYuex7P8FO35Xubew4MfNEGOoinlyzyXwirrGg ve0cJtB4W7z9o8fZ9vVzRPW6HZXj/OSdnstH/ETKtHXXjpeV4sX5Er9OVMdpeLLln0PecmQLKk/N 509cS7F5kGrr8oGXlWIwvsr7Nb/teKo9prH1d/24+bqXbelzvHocz/HNZ7yfx0G+zFNG4fmWnMNp MX8/UR+z5Y3GczE71+Ya9+63uM1Ic+yuHU8px0F+8rm1t078kDcnqvc0UR1z32M0DCXIjSQa0wTq jBBP0hoB41DSVzDwMpyekr6CgZdBjlI9CAbehy+jlGfBkPVUHvDV0DCUIDeSZmz+QiMTMA4lffUC L8P5KemrF3gZ9CjVg17gffg6SnnWC11P5QFfDQ1DCXIjaUbtJ+jjB4xDSV+9wMtwfkr66gVeBj1K 9aAXeB++jlKe9ULXU3nAV0PDUILcSIRWwDiU9CV0AsahpC+hE6BLqR4InYCvp5RnQjfgq5FsGLqb VoqtkQilKNUEcc4o6UvoRKkmiHNGSV9CJ0o1QWhEqR4InSjVBPG5KOWZ0I1SjRDEs+GqSQp306AJ 2o8FeuqC9mOBnrqgvTborwva94G8gkEt9EExrzQMQQa0Hwv01AXtxwI9dUF7bdBfF7TvA3kFg1ro g2JeaRiCDGg/FuipC9qPBXrqgvbaoL8uaN8H8goGtdAHxbzSMAQZ0H4s0FMXtB8L9NQF7bVBf13Q vg/kFQxqoQ+KeaVhCDKg/Vigpy5oPxboqQvaa4P+uqB9H8grGNRCHxTzSsMQZED7sUBPXdB+LNBT F7TXBv11Qfs+kFcwqIU+KOaVhiHIgPZjgZ66oP1YoKcuaK8N+uuC9n0gr2BQC31QzCsNQ5AB7ccC PXVB+7FAT13QXhv01wXt+0BewaAW+qCYVxqGIAPajwV66oL2Y4GeuqC9NuivC9r3gbyCQS30QTGv NAxBBrQfC/TUBe3HAj11QXtt0F8XtO8DeQWDWuiDYl5pGIIMaD8W6KkL2o8FeuqC9tqgvy5o3wfy Cga10AfFvNIwBBnQfizQUxe0Hwv01AXttUF/XdC+D+QVDGqhD4p5pWEIMqD9WKCnLmg/FuipC9pr g/66oH0fyCsY1EIfFPNKwxBkQPuxQE9d0H4s0FMXtNcG/XVB+z6QVzCohT4o5pWGIciA9mOBnrqg /Vigpy5orw3664L2fSCvYFALfVDMKw1DkAHtxwI9dUH7sUBPXdBeG/TXBe37QF7BoBb6oJhXGoYg A9qPBXrqgvZjgZ66oL026K8L2veBvIJBLfRBMa80DEEGtB8L9NQF7ccCPXVBe23QXxe07wN5BYNa 6INiXi/upgmCIAiCIAiCIAiCIAiCIFzwC0OQAe3HAj11QfuxQE9d0F4b9NcF7ftAXsGgFvqgmFca hiAD2o8FeuqC9mOBnrqgvTborwva94G8gkEt9EExrzQMQQa0Hwv01AXtxwI9dUF7bdBfF7TvA3kF g1rog2JeaRiCDGg/FuipC9qPBXrqgvbaoL8uaN8H8goGtdAHxbzSMAQZ0H4s0FMXtB8L9NQF7bVB f13Qvg/kFQxqoQ+KeaVhCDKg/Vigpy5oPxboqQvaa4P+uqB9H8grGNRCHxTzSsMQZED7sUBPXdB+ LNBTF7TXBv11Qfs+kFcwqIU+KOaVhiHIgPZjgZ66oP1YoKcuaK8N+uuC9n0gr2BQC31QzCsNQ5AB 7ccCPXVB+7FAT13QXhv01wXt+0BewaAW+qCYVxqGIAPajwV66oL2Y4GeuqC9NuivC9r3gbyCQS30 QTGvNAxBBrQfC/TUBe3HAj11QXtt0F8XtO8DeQWDWuiDYl5pGIIMaD8W6KkL2o8FeuqC9tqgvy5o 3wfyCga10AfFvNIwBBnQfizQUxe0Hwv01AXttUF/XdC+D+QVDGqhD4p5pWEIMqD9WKCnLmg/Fuip C9prg/66oH0fyCsY1EIfFPNKwxBkQPuxQE9d0H4s0FMXtNcG/XVB+z6QVzCohT4o5pWGIciA9mOB nrqg/Vigpy5orw3664L2fSCvYFALfVDMKw1DkAHtxwI9dUH7sUBPXdBeG/TXBe37QF7BoBb6oJhX GoYgA9qPBXrqgvZjgZ66oL026K8L2veBvIJBLfRBMa8Xd9MEQRAEQRAEQRAEQRAEQRAu+IUhyID2 Y4GeuqD9WKCnLmivDfrrgvZ9IK9gUAt9UMwrDUOQAe3HAj11QfuxQE9d0F4b9NcF7ftAXsGgFvqg mFcahiAD2o8FeuqC9mOBnrqgvTborwva94G8gkEt9EExrzQMQQa0Hwv01AXtxwI9dUF7bdBfF7Tv A3kFg1rog2JeaRiCDGg/FuipC9qPBXrqgvbaoL8uaN8H8goGtdAHxbzSMAQZ0H4s0FMXtB8L9NQF 7bVBf13Qvg/kFQxqoQ+KeaVhCDKg/Vigpy5oPxboqQvaa4P+uqB9H8grGNRCHxTzSsMQZED7sUBP XdB+LNBTF7TXBv11Qfs+kFcwqIU+KOaVhiHIgPZjgZ66oP1YoKcuaK8N+uuC9n0gr2BQC31QzCsN Q5AB7ccCPXVB+7FAT13QXhv01wXt+0BewaAW+qCYVxqGIAPajwV66oL2Y4GeuqC9NuivC9r3gbyC QS30QTGvNAxBBrQfC/TUBe3HAj11QXtt0F8XtO8DeQWDWuiDYl5pGIIMaD8W6KkL2o8FeuqC9tqg vy5o3wfyCga10AfFvNIwBBnQfizQUxe0Hwv01AXttUF/XdC+D+QVDGqhD4p5pWEIMqD9WKCnLmg/ FuipC9prg/66oH0fyCsY1EIfFPNKwxBkQPuxQE9d0H4s0FMXtNcG/XVB+z6QVzCohT4o5pWGIciA 9mOBnrqg/Vigpy5orw3664L2fSCvYFALfVDMKw1DkAHtxwI9dUH7sUBPXdBeG/TXBe37QF7BoBb6 oJjXi7tpgiAIgiAIgiAIgiAIgiAIF/zCEGRA+7FAT13QfizQUxe01wb9dUH7PpBXMKiFPijmlYYh yID2Y4GeuqD9WKCnLmivDfrrgvZ9IK9gUAt9UMwrDUOQAe3HAj11QfuxQE9d0F4b9NcF7ftAXsGg FvqgmFcahiAD2o8FeuqC9mOBnrqgvTborwva94G8gkEt9EExrzQMQQa0Hwv01AXtxwI9dUF7bdBf F7TvA3kFg1rog2JeaRiCDGg/FuipC9qPBXrqgvbaoL8uaN8H8goGtdAHxbzSMAQZ0H4s0FMXtB8L 9NQF7bVBf13Qvg/kFQxqoQ+KeaVhCDKg/Vigpy5oPxboqQvaa4P+uqB9H8grGNRCHxTzSsMQZED7 sUBPXdB+LNBTF7TXBv11Qfs+kFcwqIU+KOaVhiHIgPZjgZ66oP1YoKcuaK8N+uuC9n0gr2BQC31Q zCsNQ5AB7ccCPXVB+7FAT13QXhv01wXt+0BewaAW+qCYVxqGIAPajwV66oL2Y4GeuqC9NuivC9r3 gbyCQS30QTGvNAxBBrQfC/TUBe3HAj11QXtt0F8XtO8DeQWDWuiDYl5pGIIMaD8W6KkL2o8FeuqC 9tqgvy5o3wfyCga10Ae9vD4e/z8hY41J+I/30wAAAABJRU5ErkJggg== ------=_NextPart_000_0000_01D61D54.191D5760-- Product gardes purchased between January-March? Month January February March Total Result Data Sum - Grade 820 Sum - Grade 800 35 40 43 118 Sum - Grade 160 63 60 53 176 72 40 41 153 Sum of Grade 820 Sum of Grade 800 Mean Standard Error Median Mode Standard Deviation Sample Variance Skewness Range Minimum Maximum Sum Count 39.3333333333333 Mean 2.33333333333333 Standard Error 40 Median #N/A Mode 4.04145188432738 Standard Deviation 16.3333333333333 Sample Variance -0.7221086457211 Skewness 8 Range 35 Minimum 43 Maximum 118 Sum 3 Count 58.6666666666667 2.96273147243853 60 #N/A 5.13160143944688 26.3333333333333 -1.090290579828 10 53 63 176 3 Probability 0.81817072041542 Probability 0.80122471530644 ? Sum - Grade 100 Sum - Grade 160w 90 75 62 227 69 37 35 141 Sum of Grade 160 Sum of Grade 100 Mean Standard Error Median Mode Standard Deviation Sample Variance Skewness Range Minimum Maximum Sum Count 51 Mean 10.5039675043925 Standard Error 41 Median #N/A Mode 18.1934053986603 Standard Deviation 331 Sample Variance 1.72616578088073 Skewness 32 Range 40 Minimum 72 Maximum 153 Sum 3 Count Probability 0.875848382360597 Probability Sum of Grade 160w 75.666666667 Mean 8.0897740663 Standard Error 75 Median #N/A Mode 14.011899705 Standard Deviation 196.33333333 Sample Variance 0.2136190589 Skewness 28 Range 62 Minimum 90 Maximum 227 Sum 3 Count 0.8468319032 Probability 47 11.015141095 37 #N/A 19.078784028 364 1.7106626182 34 35 69 141 3 0.8755680625

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer
Step: 1 Unlock blur-text-image
Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock
Step: 3 Unlock

Students Have Also Explored These Related Mathematics Questions!