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- ONLY DO NO. 3 2. Jeremy, a police researcher, is concerned that police officers may not be assigned to areas where they are needed. He wishes to find out whether there is a connection between the number of police officers assigned to a particular block and the number of violent incidents reported on that block during the preceding week. For ten different blocks (designated A through J), the number of patrolling officers assigned and the number of prior violent incidents reported are as follows: A B C D E F G H I J X: Violent incidents 7 10 3 9 8 0 4 4 2 8 Y: Officers assigned 6 9 3 10 8 1 4 5 2 7 a. State the null and alternative hypothesesb. Calculate the value of Pearson's r for the data recorded above.c. Test the statistical significance if the two variables are related.d. Use MS Excel to verify your answer (copy and paste the results on your answer sheet)e. State the Decision and Conclusion 3. Using the same data in #2a. Calculate Spearman's r.b. Which of the two…The manager of a local record store is interested in the effectiveness of an advertisingcampaign on sales. They randomly select 10 popular CDs (all in the Billboard top 100),and place an ad in the local school newspaper saying that the store has these (and more)in stock. They measure the sales of these 10 CDs for 1 week prior to the ad, and then for1 week after the ad. The number of CDs sold each week is presented below. Was there anincrease in the number of CDs sold after the ad? Conduct a 6-step hypothesis test.CD Numbersold beforeadNumbersold after adA 25 32B 18 24C 3 7D 42 40E 16 19F 20 25G 23 23H 32 35I 60 65J 40 43 Please solve using 6 steps hypothesis and solve in excelNumber of ChildrenTable 1 shows the number of women (per 1000) between 15 and 50 years of age who have been married grouped by the number of children they have had. Table 2 gives the same information for women who have never been married.1 Number of Children Women per 1000 0 162 1 213 2 344 3 182 4 69 5+ 32 Table 1 Women who have been married Number of Children Women per 1000 0 752 1 117 2 72 3 35 4 15 5+ 10 Table 2 Women who have never been married 1http://www.census.gov/hhes/fertility/data/cps/2014.html, Table 1, June 2014. Condition gt requires numbers instead of "null" and "0" (a) Without doing any calculations, which of the two samples appears to have the highest mean number of children? Women who have been marriedWomen who have never been married Which of the distributions appears to have the mean most different from the median? Women who have been marriedWomen who have never been married…
- The table shows the leading causes of death in a certain country in a recent year. The population of the country was 311311 million. If you lived in a typical city of 500,000, how many people would you expect to die of cancercancer each year? Cause Deaths Cause Deaths Heart disease 596 comma 700596,700 Alzheimer's disease 84 comma 90084,900 Cancer 575 comma 300575,300 Diabetes 73 comma 40073,400 Chronic respiratory diseases 143 comma 100143,100 Pneumonia/Influenza 53 comma 40053,400 Stroke 128 comma 600128,600 Kidney disease 45 comma 30045,300 Accidents 122 comma 500122,500 Suicide 38 comma 60038,600 About people would be expected to die of cancer each year. (Type a whole number. Round to the nearest person as needed.)Weight City MPG 3968 20 3583 22 3470 22 3527 23 3990 18 4724 17 3692 21 3315 22 3616 20 5527 14 3719 16 3097 26 3800 19 3532 25 2269 31 5674 15 3402 20 4029 19 3996 19 3242 23 2434 31 2575 29 2960 27 3618 15 4054 19 3192 24 3305 23 3605 19 4240 15 3933 18 3633 19 3790 17 3477 20 3258 21 4685 17 2776 25 2615 24 3186 21 5137 13 3461 21 4233 16 4178 18 4702 17 3713 22 5794 14 2306 28 3194 26 3428 22 4894 12 4751 17 2605 29 3296 25 5267 13 2789 25 3570 19 4011 18 2363 27 4398 15 2806 25 2127 36 2665 27 3419 24 3427 24 3280 25 5765 13 3465 24 2295 30 3038 22 3070 25 4711 17 3230 24 3528 21 4667 16 SUMMARY OUTPUT Regression Statistics Multiple R 0.894328844 R Square 0.799824082 Adjusted R Square 0.797004703 Standard Error 2.238112689…jedydx
- The figure to the right shows the results of a survey in which 1004 adults from Country A, 997 adults from Country B, 999 adults from Country C, 1000 adults from Country D, and 995 adults from Country E were asked whether national identity is strongly tied to birthplace. National Identity and Birthplace People from different countries who believe national identity is strongly tied to birthplace Country A 31% Country B 18% Country C 23% Country D 55% Country E 10% Construct a 95% confidence interval for the population proportion of adults who say national identity is strongly tied to birthplace for each country listed. The 95% confidence interval for the proportion of adults from Country A who say national identity is strongly tied to birthplace is (☐.) - (Round to three decimal places as needed.)3.) Which of the following would result in the same value as -18 +3? Select all that apply. A. 18 -3 В. -18 % C. -18+-3 D. 18 - % E. - 1/18 3 F. -18 • -%A recent survey of college freshman asked if they had been to a movie or eaten at a restaurant during the past week. 816 responded. The following information was obtained: 266 had been to a movie, 337 had been to a restaurant and 387 had not been to a movie nor gone to a restaurant. How many of the college freshman that responded went to a movie or ate at a restaurant in the past week? Ⓒ 429 816 213 387
