Using the two data sets below, respond to the following questions; 1) For Sex Offenses, are you more likely to be victimized by a family member or a stranger? What is a possible explanation? 2) If you were a homicide detective, rank people in the following categories most likely to least likely to have murdered your victim based on statistics; Family Member, Known to the Victim but not a Family Member, and a Stranger. 3) You just read a very scary article about human trafficking. You have a 16 year old daughter. Should you be concerned about her safety according to the data? Explain. 4) Your 70 year old parents report that they keep getting calls and emails from people trying to get their credit card number or bank account number. Based on the crime data, should you be concerned for them being a victim of Fraud? Explain. 5) Complete two scholarly peer posts

Relationship of Victims to Offenders by Offense Category, 2019 Relationship of Victims to Oemiers Family Known to Total Family Member Victim and Offense Category Victims' Member and Other' Other* Stranger All Other\" Total 1,888,491 411,918 49,814 952,633 216,569 257,557 Crimes Against Persons 1,796,816 410,849 49,612 934,725 179,666 221,964 Assault Offenses 1,651,822 375,356 48,337 858,612 167,914 201,603 Homicide Offenses 6,621 1,011 54 2,321 901 2,334 Human Trafficking Offenses 1,127 60 20 506 240 301 Kidnapping/Abduction 24284 5,268 284 13,871 2,352 2,509 Sex Offenses 112,962 29,154 917 59,415 8,259 15,217 Crimes Against Property 91,675 1,069 202 17,908 36,903 35,593 Robbery 91,675 1,069 202 17,908 36,903 35,593 The relationship of a victim to an offender 1s reported only for the victim types of individual and law enforcement officer that are connected to Crimes Against Persons or robbery offenses. Relationship data are not collected for victims of offenses reported with an unknown offender or of other Crimes Against Property or Crimes Against Society offenses. WVictims were related to all offenders, whether one or more, of the reported offense. *Victims were related to at least one of the multiple offenders of the reported offense. *Victims knew, but were not related to, one or more of the multiple offenders of the reported offense. *Victims were mutual combatants (victim was offender) or had an unknown relationship with a single offender. In the case of multiple offenders, victims' relationships were combinations of strangers, mutual combatants, and/or unknown offenders. Victims Age by Offense Category, 2019 Age Total 10 and t6and Unknown Offense Caregory Vicims * Under 11-15 16-20 21-25 26-30 31-35 3d-40 41-45 46-30 j1-33 36 -60 61-63 Over Age Total 5,547.7 90051 173,716 407984 627,685 681316 617,042 532,725 445588 427,082 3IT4910 345202 264475 453632 76,450 Crimes Against Persons 1892509 $8752 144181 205659 243730 254702 219033 185412 137360 120,158 95535 75793 45725 52343 24117 Assault Offenses 1,736,992 60,686 108978 179038 228047 241901 209286 177336 132068 115990 92,671 73,605 HA27 50,223 2646 Homicide Offenses 7495 346 120 915 1,061 1,083 820 730 560 430 356 335 55 423 61 Human Trafficking Offenses 1,246 48 283 3B 125 103 58 59 2 2% 10 n 2 12 161 Kidnapping ' Abduction 25445 2758 1,702 3209 3.855 3755 2881 2,508 1,548 1.140 729 513 301 337 209 Sex Offenses 121331 24014 33088 22174 10,651 7.770 5,088 4,779 3,162 2,560 1769 1.329 740 1.348 1.040 Crimes Against Property 3655249 11199 20535 202325 383946 426614 398009 367313 308228 306924 279375 209409 218,750 401,280 52,333 Arson 13217 M 164 451 817 1,141 1,200 1372 1,138 1,252 1,108 1,051 818 1,420 87 Bnbery 3% 4 1 43 48 69 47 34 3 19 14 19 1 11 25 Burglary Breaking Entering 48257 2014 2623 18342 41046 48606 47385 44517 37,537 38567 36087 36485 30391 58414 6.243 Counterfeiting Forgery 50844 126 140 1.991 2969 3535 3.969 4,064 3.804 4,036 4,081 4.685 4.205 10925 2314 Destruction Damage Vandalism 690,888 1493 2, 37315 74694 81,998 75,481 71,685 61,045 60,733 53,008 52077 41,297 67.101 8,462 Embezzlement 5,887 8 12 130 m 423 545 555 515 602 371 537 438 1,075 204 Extortion Blackmail 5 2 282 1,072 o7 608 456 418 34 336 286 289 244 300 4\"4 Fraud Offenses 407303 m 905 19.810 34,603 39,680 39,161 36,993 32,082 33,159 31412 32,164 30,074 69.320 7,158 Larceny Theft Offenses 1.585,165 4.9% 18473 94989 176664 193630 178509 160974 133,071 130229 117236 111384 88896 138850 17.261 Motor Vehicle Theft 287149 254 165 10,548 30,000 36,711 34,308 31,888 27,105 26,631 23,644 21,628 16,153 24,990 3,14 Robbery 107,237 764 3975 15,562 17.262 14,670 11,622 9,825 7421 6,826 6,031 5212 3494 3,850 3 Stolen Pr Offenses 53.103 418 286 2072 4500 5,534 5,236 4,088 4,165 4,534 3,807 3,878 2,739 4043 5,904 This table includes only data for the victim types of individual and law enforcement officer. It does not include business, financial institution, government, religious organization, of other victim types. Victims are counted cnce for each offense type to which they are connected