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Category > Computer Science Posted 19 Sep 2017 My Price 9.00

Denver neighborhoods

Crime Rate: Denver The following data represent crime rates per 1000 population for a random sample of 46 Denver neighborhoods (Reference: The Piton Foundation, Denver, Colorado).

63.2

36.3

26.2

53.2

65.3

32.0

65.0

66.3

68.9

35.2

25.1

32.5

54.0

42.4

77.5

123.2

66.3

92.7

56.9

77.1

27.5

69.2

73.8

71.5

58.5

67.2

78.6

33.2

74.9

45.1

132.1

104.7

63.2

59.6

75.7

39.2

69.9

87.5

56.0

154.2

85.5

77.5

84.7

24.2

37.5

41.1

 

 

 

(a) Use a calculator with mean and sample standard deviation keys to verify that  width=and s ≈ 27.9crimes per 1000 population.

(b) Let us say that the preceding data are representative of the population crime rates in Denver neighborhoods. Compute an 80% confidence interval for μ, the population mean crime rate for all Denver neighborhoods.

(c) Interpretation Suppose you are advising the police department about police patrol assignments. One neighborhood has a crime rate of 57 crimes per 1000 population. Do you think that this rate is below the average population crime rate and that fewer patrols could safely be assigned to this neighborhood? Use the confidence interval to justify your answer.

(d) Interpretation Another neighborhood has a crime rate of 75 crimes per 1000 population. Does this crime rate seem to be higher than the population average? Would you recommend assigning more patrols to this neighborhood? Use the confidence interval to justify your answer.

(e) Repeat parts (b), (c), and (d) for a 95% confidence interval. (f) Check Requirement In previous problems, we assumed the x distribution was normal or approximately normal. Do we need to make such an assumption in this problem? Why or why not?

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Maurice Tutor
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Status NEW Posted 19 Sep 2017 07:09 AM My Price 9.00

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