In: Math
The following data represent crime rates per 1000 population for a random sample of 46 Denver neighborhoods.†
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 find the sample mean x and sample standard deviation s. (Round your answers to one decimal place.)
x = | crimes per 1000 people |
s = | crimes per 1000 people |
(b) Let us say 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. (Round your answers to one decimal
place.)
lower limit | crimes per 1000 people |
upper limit | crimes per 1000 people |
(c) Suppose you are advising the police department about police
patrol assignments. One neighborhood has a crime rate of 61 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.
Yes. The confidence interval indicates that this crime rate is below the average population crime rate.
Yes. The confidence interval indicates that this crime rate does not differ from the average population crime rate.
No. The confidence interval indicates that this crime rate is below the average population crime rate.
No. The confidence interval indicates that this crime rate does not differ from the average population crime rate.
(d) 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.
Yes. The confidence interval indicates that this crime rate does not differ from the average population crime rate.
Yes. The confidence interval indicates that this crime rate is higher than the average population crime rate.
No. The confidence interval indicates that this crime rate is higher than the average population crime rate.
No. The confidence interval indicates that this crime rate does not differ from the average population crime rate.
(e) Compute a 95% confidence interval for μ, the
population mean crime rate for all Denver neighborhoods. (Round
your answers to one decimal place.)
lower limit | crimes per 1000 people |
upper limit | crimes per 1000 people |
(f) Suppose you are advising the police department about police
patrol assignments. One neighborhood has a crime rate of 61 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.
Yes. The confidence interval indicates that this crime rate is below the average population crime rate.
Yes. The confidence interval indicates that this crime rate does not differ from the average population crime rate.
No. The confidence interval indicates that this crime rate is below the average population crime rate.
No. The confidence interval indicates that this crime rate does not differ from the average population crime rate.
(g) 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.
Yes. The confidence interval indicates that this crime rate does not differ from the average population crime rate.
Yes. The confidence interval indicates that this crime rate is higher than the average population crime rate.
No. The confidence interval indicates that this crime rate is higher than the average population crime rate.
No. The confidence interval indicates that this crime rate does not differ from the average population crime rate.
(h) 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? Hint: Use the
central limit theorem.
Yes. According to the central limit theorem, when n ≥ 30, the x distribution is approximately normal.
Yes. According to the central limit theorem, when n ≤ 30, the x distribution is approximately normal.
No. According to the central limit theorem, when n ≥ 30, the x distribution is approximately normal.
No. According to the central limit theorem, when n ≤ 30, the x distribution is approximately normal.
(a)
Following is the outputof descriptive statistics:
Descriptive statistics | |
X | |
count | 46 |
mean | 64.161 |
sample standard deviation | 27.862 |
sample variance | 776.317 |
minimum | 24.2 |
maximum | 154.2 |
range | 130 |
So,
(b)
(c)
No since confidence interval contains 61.
No. The confidence interval indicates that this crime rate does not differ from the average population crime rate.
(d)
Since 75 is not in confidence interval and values of confidence interval are less than 75 so,
Yes. The confidence interval indicates that this crime rate is higher than the average population crime rate.
(e)
(f)
No. The confidence interval indicates that this crime rate does not differ from the average population crime rate.
(g)
Yes. The confidence interval indicates that this crime rate is higher than the average population crime rate.
(h)
No. According to the central limit theorem, when n ≥ 30, the x distribution is approximately normal.