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Transcript
1. Of 139 adults selected randomly from one town, 30 of them smoke.
a. Construct a 99% confidence interval for the true percentage of all adults
in the town that smoke.
b. Construct a 95% confidence interval for the true percentage of all adults
in the town that smoke.
2. The speeds (in mph) of the cars passing a certain checkpoint are
measured by radar. The results for a random sample are shown below.
44.4
44.4
41.8
42.0
42.9
43.5
40.7
41.9
43.5
40.7
40.1
43.5
44.6
41.8
41.9
a. Find x-bar and s for this data set.
b. Construct a 90 percent confidence interval for the mean speed of cars
passing this checkpoint. You may assume the speeds are normally
distributed.
3. A random sample of the duration of 50 telephone calls handled by a
local telephone company had a mean of 11.6 min and a standard deviation
of 3.8 minutes. Find a 95% confidence interval for the true mean duration
of calls handled by the company.
4. A parcel service selected a random sample of 17 packages in order to
estimate the mean weight of all packages received by the service. The
sample had a mean weight of 15.3 pounds and a standard deviation of 1.9
pounds. Find the 95% confidence interval for the true mean weight of all
packages received by the parcel service. You may assume package
weights are normally distributed.
5. When obtaining a confidence interval for a population mean in the case
of a finite population of size N and a sample size n which is greater than
0.05N, the margin of error is multiplied by the following finite population
correction factor:
N n
N 1
a. Find the 95% confidence interval for the mean of 200 weights if a
sample of 33 of those weights yields a mean of 147.7 pounds and a
standard deviation of 26.7 pounds.
b. Assume the sample of 33 weights is selected from a population of 2000
weights. Would you use the same technique as in part a? Why or why
not? (Base your decision and explanation on the criteria for using this
correction factor that is given above.)