Final Exam - HIMS 650 Fall 2015 SOLUTIONS Directions: Please answer all questions. There are 14 questions and the exam is worth 25% of your total grade. The questions are not equally weighted. The point value for each question is listed below (100 points total). Data needed to complete the exam are contained in this Excel file. All answers are to be contained in one excel file. You can save this file under your name and complete the work within this file. Please do not delete this tab, the instructions tab. This is an open book, open notes exam. The one limitation is that you may NOT work with other people. This test must be completed independently. Show your work to gain partial credit. Be sure your name is on your document. Good luck! Name: Problem # Point Value 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Sum 9 9 4 4 4 4 5 5 5 5 10 10 15 11 100 Your Points 0 Julie Moultrie The 10 questions on this page are multiple choice. Please enter your answers into column M in the shaded box. Q1. Which of the words below are typically used to describe quantitative research methods? (Select all that apply.) A. Subjective B. Objective C. Descriptive D. Numeric E. Random F. Focus is on the research subject's view Your Answer to Q1: B. D. E. Total Points = Your Answer to Q2 #1 Your Answer to Q2 #2 Your Answer to Q2 #3 B. C. A. Total Points = Your Answer to Q3 #1: C. Total Points = Your Answer to Q4: B. Total Points = Your Answer to Q5: B. Total Points = Your Answer to Q6: B. Total Points = Your Answer to Q7: B. Total Points = Your Answer to Q8: B. Total Points = Your Answer to Q9: C. Total Points = Your Answer to Q10: C. Total Points = dep, indep, numerical, increase, decrease Q2: Match the appropriate inferential statistical test to the provided definitions. A. t test B. ANOVA C. Chi-Square 1. Used to test independence for more than 2 means (i.e. compares the means of more than 2 groups) Letter: _______ 2. Used to test the independence between 2 or more categorical variables Letter: _______ 3. Used to compare means of 2 groups Letter: _______ Q3: What is the risk of performing the t=test using pooled variance, if the variances between the 2 samples are actually unequal (i.e.. fail the F test) ? A. Your result will only be applicable for a one-tail t-test B. You will fail to adjust for sample size. C. You may falsely accept or reject the null hypothesis. Q4. The probability that a new advertising campaign will increase sales is assessed as being 0.80. The probability that the cost of developing the new ad campaign can be kept within the original budget allocation is 0.40. Assuming that the two events are independent, the probability that the cost is kept within budget and the campaign will increase sales is: (Select the correct answer from the choices below.) A. 0.20 B. 0.32 C. 0.40 D. 0.88 Q5. Which variable in the following list is a categorical variable? (Select the correct answer from the choices below.) A. Country B. Height C. Daylight Savings Time Q6. According to the empirical rule, if the data form a "bell-shaped curve" (normal distribution), approximately what percent of the observations will be contained within + /- 2 standard deviations from the arithmetic mean. (Select the correct answer from the choices below.) A. B. C. D. 99.7 95.0 75.0 68.3 Q7. You believe that there is a relationship between heart failure readmissions to the hospital and patients being educated on heart fialure symptoms. What would your null (H0) and alternative (H1) hypotheses be? (Select the correct answer from the choices below.) A. H0: Heart failure readmissions and patient education are independent. H1: Heart failure readmissions are dependent on patient education. B. H0: Heart failure readmissions are dependent on patient education. H1: Heart failure readmissions and patient education are independent. Q8. Which of the following distributions is/are discrete probability distribution(s) (select all that apply)? A. B. C. D. Normal Distribution Poisson Distribution F Distribution Binomial Distribution Q9. A confidence interval was used to estimate the proportion of statistics students that are males. A random sample of 115 statistics students generated the following 90% confidence interval: (0.557, 0.673). Based on the interval above, is the population proportion of males equal to 0.60? A) Yes, and we are 90% sure of it. B) Yes, and we are 95% sure of it. C) Maybe. 0.60 is a believable value of the proportion based on the information given. D) No. The proportion is 54.17%. E) No, and we are 90% sure of it. F) No, and we are 95% sure of it. Q10. This question is related to simple linear regression. In simple linear regression, the goal is to determine if there is a linear change in the _______ variable based on a change in the ______ variable. The dependent variable will always be a ________ variable. If a negative relationship is found, this means that as the independent variable _______, the dependent variable _______. (Select the correct answer from the choices below to correctly fill in the blank words.) A. dependent, independent, categorical, increases, decreases B. independent, dependent, categorical, increases, decreases C. independent, dependent, categorical, decreases, increases C. dependent, independent, numerical, increases, decreases D. dependent, independent, numerical, decreases, increases E. independent, dependent, numerical, decreases, increases Total 0 Pe rs on 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 16 0 16 1 16 2 16 3 16 4 16 5 16 6 16 7 16 8 16 9 170 171 172 173 174 175 176 177 178 179 18 0 18 1 18 2 18 3 18 4 18 5 18 6 18 7 18 8 18 9 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 26 0 26 1 26 2 26 3 26 4 26 5 26 6 26 7 26 8 26 9 270 271 272 273 274 275 276 277 278 279 28 0 28 1 28 2 28 3 28 4 28 5 28 6 28 7 28 8 28 9 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 36 0 36 1 36 2 36 3 36 4 36 5 36 6 36 7 36 8 36 9 370 371 372 373 374 375 376 377 378 379 38 0 38 1 38 2 38 3 38 4 38 5 38 6 38 7 38 8 38 9 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 46 0 46 1 46 2 46 3 46 4 46 5 46 6 46 7 46 8 46 9 470 471 472 473 474 475 476 477 478 479 48 0 48 1 48 2 48 3 48 4 48 5 48 6 48 7 48 8 48 9 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 56 0 56 1 56 2 56 3 56 4 56 5 56 6 56 7 56 8 56 9 570 571 572 573 574 575 576 577 578 579 58 0 58 1 58 2 58 3 58 4 58 5 58 6 58 7 58 8 58 9 590 591 592 593 594 595 596 597 598 599 6 00 6 01 6 02 6 03 6 04 6 05 6 06 6 07 6 08 6 09 6 10 6 11 6 12 6 13 6 14 6 15 6 16 6 17 6 18 6 19 6 20 6 21 6 22 6 23 6 24 6 25 6 26 6 27 6 28 6 29 6 30 6 31 6 32 6 33 6 34 6 35 6 36 6 37 6 38 6 39 6 40 6 41 6 42 6 43 6 44 6 45 6 46 6 47 6 48 6 49 6 50 6 51 6 52 6 53 6 54 6 55 6 56 6 57 6 58 6 59 660 661 662 663 664 665 666 667 668 669 6 70 6 71 6 72 6 73 6 74 6 75 6 76 6 77 6 78 6 79 680 681 682 683 684 685 686 687 688 689 6 90 6 91 6 92 6 93 6 94 6 95 6 96 6 97 6 98 6 99 700 701 702 703 704 705 706 707 Wa iting T ime 35 25 40 51 50 55 16 36 49 27 31 A) 21 20 28 30 17 32 34 39 34 35 34 51 37 36 33 58 70 B) 47 62 31 55 22 43 47 57 37 33 45 34 46 24 30 23 34 38 38 35 60 21 C) 31 12 52 25 31 46 43 47 44 24 27 45 41 29 36 39 44 39 29 57 43 39 46 47 32 29 49 26 22 45 44 60 52 51 39 38 43 38 27 20 46 42 44 40 28 50 35 30 30 34 33 33 46 43 32 51 20 44 37 38 31 33 46 46 43 45 54 41 44 57 35 48 39 49 37 30 49 32 43 43 35 34 24 58 32 39 36 66 51 47 51 40 43 36 26 51 35 25 46 46 42 42 32 45 43 49 10 43 53 21 38 52 55 40 39 57 38 31 47 38 48 42 53 37 28 23 12 39 41 38 40 41 53 39 27 24 40 48 23 32 43 36 35 36 34 30 44 39 51 41 39 40 40 38 26 40 39 46 31 44 40 39 47 56 25 26 44 50 29 17 29 40 42 28 29 43 39 33 39 29 29 48 54 31 36 39 56 44 55 40 54 32 28 50 47 21 51 36 27 19 30 43 47 37 37 40 34 47 33 61 45 44 28 47 52 31 35 25 52 48 40 16 43 43 50 28 50 32 31 21 52 28 53 26 34 25 54 38 41 48 57 37 28 32 46 47 43 23 24 37 32 32 47 30 37 36 53 25 29 36 27 24 16 44 35 42 18 50 19 33 28 37 39 55 33 30 31 44 51 24 48 54 31 39 30 45 40 38 28 35 45 38 48 28 46 50 26 42 20 39 48 48 39 30 44 43 45 29 44 54 40 34 40 56 14 38 37 48 50 54 20 46 42 45 43 37 55 43 38 38 37 21 42 40 45 36 46 51 57 25 44 36 31 45 61 51 40 33 36 27 39 35 44 25 43 48 29 42 43 48 36 40 34 43 54 36 28 29 45 54 32 30 48 40 42 64 32 30 50 35 24 49 25 34 24 27 44 39 21 58 40 52 38 36 38 19 31 52 40 34 32 27 50 63 47 37 29 37 35 34 47 35 41 46 40 22 38 45 36 22 22 30 41 32 59 36 47 50 33 20 29 39 41 47 17 31 40 39 37 36 53 46 25 33 35 29 36 39 28 46 36 45 30 41 25 61 46 27 53 35 24 34 41 31 44 36 43 19 27 53 40 47 26 25 36 36 48 48 35 43 48 30 31 35 43 21 50 57 38 25 38 53 40 51 49 42 30 34 51 43 45 29 17 37 48 47 33 31 41 27 43 22 53 54 31 51 45 47 27 51 34 50 22 29 68 34 34 45 35 21 38 47 47 35 42 56 42 39 33 41 38 54 67 20 39 55 48 40 50 48 37 30 28 26 13 26 45 46 50 34 25 19 33 34 48 32 48 41 47 49 44 41 36 42 33 46 37 31 30 56 42 39 48 29 39 36 43 56 34 53 44 54 58 47 58 37 38 53 31 40 27 38 52 41 39 30 19 32 22 49 38 50 49 47 44 46 41 37 35 31 37 57 38 53 31 55 25 42 43 27 63 44 28 23 21 34 22 25 20 31 35 49 45 37 36 29 51 48 32 55 28 46 53 41 31 36 45 Q12. The wait times at an emergency room are g iven in columns A and B. A. Generate a frequency distribution of 12 Bins for emergency room wait. Use the =MIN() , =MAX(), and =FREQUENCY() functions. B.Make sure the graph includes a title. Label the x and y axis. C. Suppose a patient is selected at random. Let A = the event the patient's wait is between 25 and 30 minutes. Find the probability of A. S how your Bins her e: Wait times in Mins. Number of patien ts 10 15 70 20 60 25 5 30 35 40 45 50 55 60 65 70 T otal S how your gr of the fr aph equency distribution her e. P (A) 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 76 0 76 1 76 2 76 3 76 4 76 5 76 6 76 7 76 8 76 9 770 771 772 773 774 775 776 777 778 779 78 0 78 1 78 2 78 3 78 4 78 5 78 6 78 7 78 8 78 9 790 791 792 793 794 795 796 797 798 799 8 00 8 01 8 02 8 03 8 04 8 05 8 06 8 07 8 08 8 09 8 10 8 11 8 12 8 13 8 14 8 15 8 16 8 17 8 18 8 19 8 20 8 21 8 22 8 23 8 24 8 25 8 26 8 27 8 28 8 29 8 30 8 31 8 32 8 33 19 30 41 34 26 40 46 21 34 30 42 36 33 40 28 29 34 57 20 37 42 41 54 21 41 28 42 45 29 36 33 25 42 42 37 43 41 61 29 42 17 37 48 29 34 32 34 46 37 56 34 26 44 37 36 22 30 32 30 25 37 49 31 37 37 47 36 63 14 38 31 37 51 42 35 25 34 30 50 33 34 38 32 49 39 38 37 27 39 36 26 31 44 49 45 43 28 49 25 45 23 49 53 41 47 41 23 21 47 49 41 34 29 32 26 30 42 28 57 45 36 34 33 42 51 22 Q11. A random sample of 10 independent observations from a normally distributed population yielded the following values 151, 153, 149, 143, 147, 146, 145, 130, 160, 152. a) Using ?? = .05, test the hypothesis that the true mean is 150 against the alternative that the true mean is not 150. You will calculate confidence limits to solve this problem. Show your work. b) State the conclusion. a) 95% lower CL 95% upper CL B) Q13. Refer to the tab titled "ED Satisfaction" for data required to solve this problem. You are looking at results of patient satisfaction from 2 different hospitals in your healthcare system related to patient experience in the Emergency Department (ED). One hundred patients from each hospital took a survey related to their satisfaction after being treated in the ED. The survey results were calculated on a scale from 0 to 10, with 10 indicating complete satisfaction. Hospitals are titled Hospital A and Hospital B. You want to know if patient satisfaction in the ED was the same or different based on the hospital. Answer questions 1 through 3 below. #1. What is your null hypothesis (H0) for this research topic? (Select either A or B from below.) A. ED patient satisfaction is dependent on which hospital treatment was recieved from. B. There is no difference in patient satisfaction related to the ED experience in Hospital A or Hospital B. #2. Calculate the mean of the patient satisfaction score for each hospital. A. ______ Hospital A patient satistaction B. ______ Hospital B patient satisfaction #3. Perform the appropriate statistical test to test for significance between the the two groups. Note, you can use the "data analysis toolpak" to get your result. Based on your results: A. What p-value did you find and is this significant? B. Would you accept or reject the null hypothesis? Q14. Refer to the tab titled "Financial Data" for data required to solve this problem. This data represents financial data associated with 4 different types of readmissions. Use the column titled "Cause of Readmission" and the column titled "Length of Stay" to answer the following questions. Answer questions 1 through 2 below. #1. What is an appropriate null hypothesis (H0) for this data analysis? A. There is a significant difference in length of stay for the 4 different causes of readmissions. B. There is no difference in length of stay for the 4 different causes of readmissions. #2. Perform a one-way ANOVA to test for significant difference in Length of Stay between the 4 causes for readmissions. (It is recommended that you use the data analysis toolpak addin to perform the test. You will need to rearange the data to be able to run the test appropriately. You can create a new tab with the data ordered in the way that is required to run this test.) Based on the p-value from your ANOVA test, woul d you accept or reject your null hypothesis ? Explain why. Hospital A Hospital B 9.1 7.8 1.1 8.8 3.3 5.6 1.4 9.1 3.4 7.6 5.8 1.0 8.5 7.7 3.7 4.6 7.8 0.9 8.3 1.1 4.0 3.2 8.8 0.2 8.0 1.7 3.2 8.9 4.5 2.8 8.8 7.9 1.5 9.2 7.2 3.9 7.5 3.2 3.8 1.8 3.6 4.8 7.2 7.1 4.3 2.8 4.6 7.2 8.0 2.8 5.8 5.1 9.2 7.1 1.4 5.2 9.8 5.3 3.2 3.6 8.0 5.2 5.1 9.6 9.9 5.8 6.7 0.6 9.3 1.6 0.2 5.5 1.7 4.5 8.4 9.3 1.9 8.1 9.2 8.9 2.6 7.1 8.1 0.9 9.9 6.1 6.8 8.3 3.0 0.9 9.9 3.8 6.1 9.3 3.4 7.2 5.3 6.9 9.0 2.5 5.5 3.9 8.6 4.5 3.0 5.2 0.2 0.7 2.6 8.0 7.0 5.9 1.1 8.8 6.3 3.7 4.3 9.0 8.2 7.4 8.3 7.6 2.7 3.2 4.1 9.2 9.9 7.4 6.6 8.2 7.6 7.5 9.2 3.7 8.1 9.5 7.9 6.5 6.9 3.9 3.8 9.3 6.3 8.9 10.0 8.7 9.7 8.6 6.2 8.3 7.2 7.0 3.8 4.5 3.7 4.5 7.6 10.0 7.1 9.5 3.1 7.9 8.8 1.2 8.9 7.7 6.5 8.9 1.0 9.3 7.2 7.5 5.6 8.4 9.4 1.1 0.6 9.8 2.0 7.7 0.7 0.7 8.3 6.7 6.8 9.0 7.0 9.4 9.0 7.7 2.7 5.9 8.5 7.6 5.0 8.1 6.6 5.3 10.0 7.5 Net Income Cost for Readmission Contribution Margin (payments Cost for Readmission (Direct & Indirect (payments minus Direct minus all Cause for Readmission Length of Stay (Direct Cost) Cost) Cost) costs) Stroke 2 2,918.52 4,662.57 302.48 -1,441.57 Stroke 4 6,126.04 10,283.49 7,659.49 3,502.04 Stroke 21 34,254.54 49,821.55 -34,254.54 -49,821.55 Stroke 4 6,552.89 9,712.34 5,600.18 2,440.73 Stroke 6 7,527.53 13,344.35 2,582.65 -3,234.17 Stroke 6 10,130.00 14,938.41 -4,333.01 -9,141.42 Stroke 4 4,062.03 6,759.87 11,841.31 9,143.47 Stroke 3 9,810.99 16,237.06 6,092.35 -333.72 Stroke 0 7,004.56 10,107.25 -3,816.56 -6,919.25 Stroke 2 3,415.81 6,164.34 4,694.73 1,946.20 Stroke 4 5,714.02 8,542.52 8,012.06 5,183.56 Stroke 4 10,099.63 15,408.73 -1,509.29 -6,818.39 Stroke 8 13,232.88 19,471.54 434.25 -5,804.41 Stroke 13 24,369.46 36,267.13 -10,577.92 -22,475.59 Stroke 1 2,541.71 4,011.66 6,038.03 4,568.08 Stroke 2 3,124.63 4,498.31 1,702.62 328.94 Stroke 9 18,791.70 27,502.88 -8,721.85 -17,433.03 Stroke 10 14,250.70 24,682.84 12,575.80 2,143.66 GI bleed 6 13,644.71 19,962.66 3,710.95 -2,607.00 GI bleed 7 10,641.59 17,457.52 17,331.56 10,515.63 GI bleed 6 19,804.83 32,001.11 12,920.91 724.63 GI bleed 12 19,963.48 32,880.62 6,702.69 -6,214.45 GI bleed 64 129,991.43 193,072.59 109,846.26 46,765.10 GI bleed 6 12,268.38 20,159.23 -3,897.03 -11,787.88 GI bleed 7 16,367.14 26,061.84 8,588.13 -1,106.57 GI bleed 8 21,415.23 34,698.89 4,430.16 -8,853.50 GI bleed 19 87,459.32 123,875.69 -87,459.32 -123,875.69 GI bleed 7 5,195.98 9,438.76 -6.62 -4,249.40 GI bleed 7 10,577.25 17,920.86 -4,310.07 -11,653.68 GI bleed 1 4,461.89 7,489.02 -2,900.72 -5,927.85 GI bleed 7 13,105.81 21,026.30 503.44 -7,417.05 GI bleed 21 32,881.21 52,215.48 -10,518.27 -29,852.54 GI bleed 5 11,913.88 17,580.10 1,504.32 -4,161.90 GI bleed 3 7,219.69 11,569.92 2,439.11 -1,911.12 GI bleed 125 380,925.88 611,084.63 66,334.11 -163,824.64 GI bleed 5 7,812.40 11,141.75 5,854.60 2,525.25 GI bleed 4 11,157.51 16,504.90 -38.51 -5,385.90 GI bleed 13 23,316.11 33,744.85 10,734.89 306.15 GI bleed 2 1,028.09 1,683.89 1,026.25 370.45 GI bleed 14 16,616.67 27,906.64 16,965.33 5,675.36 GI bleed 20 22,514.15 38,089.79 25,095.85 9,520.21 GI bleed 3 7,550.32 10,793.76 6,607.11 3,363.67 GI bleed 6 10,522.42 15,477.25 3,635.01 -1,319.82 GI bleed 3 11,655.19 17,146.59 13,539.07 8,047.67 GI bleed 7 7,753.23 13,323.02 -4,127.58 -9,697.37 GI bleed 6 18,359.35 26,862.81 -11,120.65 -19,624.11 GI bleed 4 7,183.82 10,081.45 -1,344.29 -4,241.92 GI bleed 4 7,641.23 12,393.07 4,799.39 47.55 GI bleed 13 29,042.65 41,740.96 -21,627.09 -34,325.40 GI bleed 7 10,683.13 16,645.19 -3,733.57 -9,695.63 GI bleed 6 20,846.80 33,526.36 -13,560.15 -26,239.71 GI bleed 12 32,297.84 48,622.88 -10,229.69 -26,554.73 GI bleed 3 6,478.88 9,369.63 1,063.85 -1,826.90 GI bleed 6 9,014.08 13,081.15 -1,622.20 -5,689.27 GI bleed 4 7,790.32 10,894.00 -2,666.93 -5,770.61 GI bleed 15 21,518.37 31,594.07 -10,430.36 -20,506.06 GI bleed 4 5,727.10 8,659.04 1,904.49 -1,027.45 GI bleed 4 8,336.49 12,372.10 -944.61 -4,980.22 GI bleed 6 13,228.18 19,526.87 -5,596.59 -11,895.28 GI bleed 5 14,288.42 23,899.36 -7,338.86 -16,949.80 GI bleed 10 16,953.57 26,700.66 -9,666.92 -19,414.01 GI bleed 10 19,820.92 30,975.46 -12,534.27 -23,688.81 GI bleed 18 29,905.40 47,439.19 -8,969.44 -26,503.23 GI bleed 17 65,136.85 99,204.41 -33,408.50 -67,476.06 GI bleed 5 12,756.26 20,926.11 -5,651.15 -13,821.00 GI bleed 7 15,392.46 22,183.58 -6,419.09 -13,210.21 GI bleed 3 4,819.55 7,122.36 2,470.62 167.81 GI bleed 1 4,904.67 7,205.43 2,607.40 306.64 GI bleed 7 13,036.49 19,207.08 -5,715.76 -11,886.35 GI bleed 7 8,101.95 14,204.40 -3,937.79 -10,040.24 GI bleed 5 8,154.63 12,242.43 -1,204.35 -5,292.15 GI bleed 7 18,654.11 26,403.31 -1,487.16 -9,236.36 Other 11 26,185.48 37,791.74 15,709.95 4,103.69 Other 10 43,017.45 63,146.31 -40,499.05 -60,627.91 Other 2 8,450.48 12,147.31 54,390.27 50,693.44 Other 6 11,971.95 17,924.75 18,467.01 12,514.21 Other 25 38,717.19 65,784.58 36,504.06 9,436.67 Other 1 878.17 1,324.07 10,004.39 9,558.49 Other 7 50,819.52 70,275.06 233,448.90 213,993.36 Other 1 1,704.41 2,548.50 1,751.13 907.04 Other 15 14,627.96 25,215.99 -2,120.03 -12,708.06 Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Vtach &/or AICD fire Vtach &/or AICD fire Vtach &/or AICD fire Vtach &/or AICD fire Vtach &/or AICD fire Vtach &/or AICD fire Vtach &/or AICD fire Vtach &/or AICD fire Vtach &/or AICD fire Vtach &/or AICD fire Vtach &/or AICD fire Vtach &/or AICD fire Vtach &/or AICD fire Vtach &/or AICD fire Vtach &/or AICD fire Vtach &/or AICD fire 33 4 11 1 2 2 6 1 0 5 4 36 19 9 0 69 3 8 7 38 1 3 4 1 4 2 10 5 34 19 49 2 1 0 11 6 1 6 7 4 2 1 128 41,395.92 3,292.14 10,892.48 2,403.59 2,706.58 2,124.40 7,447.04 1,009.94 1,345.97 7,251.14 9,701.59 37,843.82 40,537.88 10,347.35 502.81 553,201.72 4,522.75 11,245.61 12,664.94 127,857.56 2,471.98 25,101.78 4,987.47 1,792.17 5,566.23 3,810.49 11,077.33 8,671.91 39,313.13 25,446.41 327,441.59 2,249.49 2,755.24 826.74 30,122.53 10,842.52 1,487.62 19,169.92 5,462.37 4,256.29 1,454.75 4,834.22 389,334.55 68,132.25 5,442.01 17,865.45 3,630.46 4,017.51 3,148.89 11,025.15 1,627.64 2,320.24 10,580.84 14,144.58 62,280.81 67,417.61 15,277.24 741.18 777,109.97 6,531.25 16,724.82 17,829.47 213,022.78 3,752.89 32,932.28 8,101.97 2,756.24 9,171.45 6,450.39 18,923.88 13,962.84 65,005.33 43,301.83 499,434.53 4,108.83 4,091.08 1,388.61 46,206.47 16,233.59 2,184.46 27,085.14 9,825.48 6,303.56 2,140.38 7,740.82 600,278.05 -41,395.92 2,079.62 1,391.16 564.33 6,676.69 5,950.46 -2,273.50 904.76 936.83 2,369.64 -574.42 -19,537.49 -3,779.96 -3,464.14 -76.38 -89,298.98 2,774.44 -4,271.35 6,020.54 23,823.15 422.95 -15,933.98 2,289.03 -37.36 1,104.52 6,280.71 7,549.25 9,345.18 36,659.28 -6,082.33 18,358.68 2,593.51 2,742.04 617.31 -450.11 -3,916.62 4,519.55 -4,839.66 320.62 1,322.70 -13.82 9,552.99 23,539.80 -68,132.25 -70.25 -5,581.81 -662.54 5,365.76 4,925.97 -5,851.61 287.06 -37.44 -960.06 -5,017.41 -43,974.48 -30,659.69 -8,394.03 -314.75 -313,207.23 765.94 -9,750.56 856.01 -61,342.07 -857.96 -23,764.48 -825.47 -1,001.43 -2,500.70 3,640.81 -297.30 4,054.25 10,967.08 -23,937.75 -153,634.26 734.17 1,406.20 55.44 -16,534.05 -9,307.69 3,822.71 -12,754.88 -4,042.49 -724.57 -699.45 6,646.39 -187,403.70