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- :@/@@:@;@:@/“/“/“,”,@.@.@.@.19 Males Females85 7877 9648 5760 6850 5562 8155 7876 8651 8864 5572 3760 6563 8680 7780 7863 6468 6398 7840 6283 6770 8462 8375 6870 7655 8466 8953 8779 9272 9066 9566 6897 9060 8064 8157 7459 5565 10171 7484 7858 79C8. GSS 2018 respondents were asked their views on teens (between the ages of 14 and 16) engaging in sex before marriage (TEENSEX). Responses are cross-tabulated by educational attainment (DEGREE). a. What percentage of those surveyed felt teen sex was always wrong? b. What percentage of those with less than a high school diploma felt teen sex was always wrong? c. What percentage of those with a graduate degree felt teen sex was always wrong? d. Interpret the gamma statistic. e. Using chi-square, test the null hypothesis that DEGREE and TEENSEX are statistically independent. Set alpha at .05. Sex before marriage - - teens 14-16 * Rs highest degree Crosstabulation Rs highest degree Lt high High Junior school school college Bachelor Graduate Total 78 305 47 95 54 579 Sex before Always Count marriage -- teens 14-16 wrong 65.5% 59.8% 58.8% 53.1% 49.1% 58.0% % within Rs highest degree (Continued)
- Male Female 27,767 20,516 17,413 24,972 6,080 4,900 28,523 17,661 25,137 11,901 9,821 17,562 21,857 9,865 16,491 21,047 27,687 12,095 23,361 20,089 12,272 16,244 9,584 14,395 13,562 15,467 23,151 23,501 20,071 5,715 142 19,698 21,957 21,640 8,722 18,345 21,058 16,616 17,940 15,249 15,001 28,849 20,938 6,825 6,151 17,111 8,370 4,197 27,687 12,989 11,589 16,879 12,021 13,322 13,709 20,292 12,888 19,417 17,879 14,061 13,743 32,349 11,268 8,738 22,102 10,475 16,788 11,971 10,387 28,702 13,809 22,947 15,644 16,386 11,044 20,101 17,933 20,564 11,413 14,483 11,842 17,349 6,794…13. Does income increase when you get married? To investigate this, a college student has randomly selected people from his college town and collected income data for these people. They were categorized according to their marital status. The following results (in thousands of dollars) were obtained. ? Marital status Income ($1000) Income ($1000) Income ($1000) Income ($1000) Income ($1000) Married 136 116 82 166 72 Not married 33 78 76 125 80 Use the Wilconxon signed-rank test to determine if the income for married people has values that are systematically larger than for unmarried people. Perform on the 5% level (α = 0.05). What is your conclusion? (10p) A complete answer should be given that is easy to follow step by step.3.273525429 3.725058267 3.193881287 3.380595777 3.849062312 2.688788698 4.521501366 2.876926464 3.202865171 3.760862809 3.648737967 3.155042169 3.047772295 2.331491399 2.43426651 3.316262576 3.33570391 3.123784316 1.983014564 4.026381813 2.819851735 3.020835161 3.963952045 3.434812572 2.530150764 3.501124236 2.723868073 3.734018756 3.07485433 2.945439985 2.963046282 3.301251136 3.806637216 2.495620331 2.99022362 2.548798319 2.849586988 3.554039618 3.565046584 3.383944772 2.895875003 3.96006813 3.744978387 4.034873151 3.394484477 4.637022161 3.085000083 3.945715143 2.590540526 3.593019815 Data from sheet 5
- I don't understand it.1040 1040 1290 1035 1050 960 745 770 1400 1080 845 1130 1025 1090 830 1075 810 1045 1015 970 1135 1160 1595 1365 825 1405 1230 1485 1015 715 1035 825 1190 1175 950 1305 1335 1725 1515 895 810 1135 1580 1130 1340 655 960 1265 860 875 940 1535 930 1480 1280 1055 1405 1220 1090 1410 1115 1010 1135 1135 1050 1205 1100 1290 1345 1170 1225 925 1255 1650 1000 890 1200 980 1005 1525 1165 1335 1175 1755 1035 1125 920 1150 1300 955 1075 1195 1475 1085 990 1295 835 1065 1405 1075 9 Currently 200 students are taking E270. Suppose each student is assigned to take a random sample of 100 two-bedroom aprtments in Indianapolis Metropolitan Area (IMA) and each build a 95% confidence interval for the average monthly rent for two-bedroom apartments. How many of the 200 interval estimated submitted by students do you expect to capture the population mean monthly rent? a 195 b 190 c 185 d 95The number of cities with populations of 75,000 or more is depicted in the histogram. How many cities have between 100,000 and 499,999 people? A: 75,000-99,999 180- 160- 140- 120- * 100- 80- 60- 40- 20- 0- В: 100,000-199,999 C: 200,000-499,999 D: 500,000-999,999 E: 1 million or more A E Population of city ..... cities have a population between 100,000 and 499,999 people. (Type a whole number.) Number cities