1. Your city has recently decided to reduce policing costs by switching from one officer cars to two officer cars. The police chief has commissioned you to test whether policing costs have decreased in response to the switch to two officer cars for all four districts. What is the null hypothesis for this problem.

Flag question: Question 2Question 20.77 pts

Your city has recently decided to reduce policing costs by switching from one officer cars to two officer cars. The police chief has commissioned you to test whether policing costs have decreased in response to the switch to two officer cars for all four districts. What is the mean of the difference scores?

Group of answer choices

-1,468.75

-3,000.00

-1,531.00

60,000.00

Flag question: Question 3Question 30.77 pts

Your city has recently decided to reduce policing costs by switching from one officer cars to two officer cars. The police chief has commissioned you to test whether policing costs have decreased in response to the switch to two officer cars for all four districts. What is the standard deviation of differences?

Group of answer choices

1,969.493

3,878,906.25

11,636,718.75

984.746

Flag question: Question 4Question 40.77 pts

Your city has recently decided to reduce policing costs by switching from one officer cars to two officer cars. The police chief has commissioned you to test whether policing costs have decreased in response to the switch to two officer cars for all four districts. What is the standard error of mean differences?

Group of answer choices

984.746

1969.493

-1,469.00

22.189

Flag question: Question 5Question 50.77 pts

Your city has recently decided to reduce policing costs by switching from one officer cars to two officer cars. The police chief has commissioned you to test whether policing costs have decreased in response to the switch to two officer cars for all four districts. What is the estimated t-value?

Flag question: Question 6Question 60.77 pts

Your city has recently decided to reduce policing costs by switching from one officer cars to two officer cars. The police chief has commissioned you to test whether policing costs have decreased in response to the switch to two officer cars for all four districts. Do you fail to reject the null? Or reject the null hypothesis of no difference?

Flag question: Question 7Question 70.77 pts

Your city has recently decided to reduce policing costs by switching from one officer cars to two officer cars. The police chief has commissioned you to test whether policing costs have decreased in response to the switch to two officer cars for all four districts. Can we conclude that two officer cars save money, compared to one officer cars?

Group of answer choices

yes

no

Flag question: Question 8Question 80.77 pts

You have administered a survey to a group of your college peers. You believe that going out to bars is associated with higher average levels of victimization. You find that those who go out to bars (n = 86) report, on average, 4.2 victimizations, with a standard deviation of 6.7. Those who do not go out to bars (n = 31) report, on average, 2.8 victimizations, with a standard deviation of 1.1. Test whether there is a significant difference in the average level of victimizations between bar patrons and those who do not go to bars at the .05 level. What is the null hypothesis?

Flag question: Question 9Question 90.77 pts

You have administered a survey to a group of your college peers. You believe that going out to bars is associated with higher average levels of victimization. You find that those who go out to bars (n = 86) report, on average, 4.2 victimizations, with a standard deviation of 6.7. Those who do not go out to bars (n = 31) report, on average, 2.8 victimizations, with a standard deviation of 1.1. Test whether there is a significant difference in the average level of victimizations between bar patrons and those who do not go to bars at the .05 level. What is the standard error?

Flag question: Question 10Question 100.77 pts

You have administered a survey to a group of your college peers. You believe that going out to bars is associated with higher average levels of victimization. You find that those who go out to bars (n = 86) report, on average, 4.2 victimizations, with a standard deviation of 6.7. Those who do not go out to bars (n = 31) report, on average, 2.8 victimizations, with a standard deviation of 1.1. Test whether there is a significant difference in the average level of victimizations between bar patrons and those who do not go to bars at the .05 level. What is the critical value for the .05 level of significance?

Group of answer choices

1.984

2.617

1.960

2.581

Flag question: Question 11Question 110.77 pts

You have administered a survey to a group of your college peers. You believe that going out to bars is associated with higher average levels of victimization. You find that those who go out to bars (n = 86) report, on average, 4.2 victimizations, with a standard deviation of 6.7. Those who do not go out to bars (n = 31) report, on average, 2.8 victimizations, with a standard deviation of 1.1. Test whether there is a significant difference in the average level of victimizations between bar patrons and those who do not go to bars at the .05 level. What is the calculated test statistic (step 5)?

Flag question: Question 12Question 120.77 pts

You have administered a survey to a group of your college peers. You believe that going out to bars is associated with higher average levels of victimization. You find that those who go out to bars (n = 86) report, on average, 4.2 victimizations, with a standard deviation of 6.7. Those who do not go out to bars (n = 31) report, on average, 2.8 victimizations, with a standard deviation of 1.1. Test whether there is a significant difference in the average level of victimizations between bar patrons and those who do not go to bars at the .05 level. Will we fail to reject the null hypothesis or reject the null hypothesis of no difference?

Flag question: Question 13Question 130.77 pts

You have administered a survey to a group of your college peers. You believe that going out to bars is associated with higher average levels of victimization. You find that those who go out to bars (n = 86) report, on average, 4.2 victimizations, with a standard deviation of 6.7. Those who do not go out to bars (n = 31) report, on average, 2.8 victimizations, with a standard deviation of 1.1. Test whether there is a significant difference in the average level of victimizations between bar patrons and those who do not go to bars at the .05 level. Is there a significant difference in the average number of victimizations between those that go to the bar and those that do not?