probability and statistic

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7.9 Suppose that we will take a random sample of size n from a population having mean m and standard deviation s. For each of the following situations, find the mean, variance, and standard deviation of the sampling distribution of the sample mean x:

a μ=10, σ=2, n=25 c μ=3, σ.1, n=4

b μ=500, σ.5, n=100 d μ=100, σ 1, n=1,600

Again, consider the survey of 350 Bank of America customers discussed in Exercise 7.31, and assume that 48% of Bank of America customers would currently express customer delight. That is, assume p=.48. Find:

a The probability that the sample proportion obtained from the sample of 350 Bank of America customers would be within three percentage points of the population proportion. That is, find P(.45 ≤ pˆ ≤.51).

b The probability that the sample proportion obtained from the sample of 350 Bank of America customers would be within six percentage points of the population proportion.

That is, find P(.42 ≤ pˆ ≤ .54)

8.6 Suppose that, for a sample of size n 􏱻 100 measurements, we find that x 􏱻 50. Assuming that s equals 2, calculate confidence intervals for the population mean m with the following confidence levels:

a 95% b 99% c 97% d 80% e 99.73% f 92%

8.16 Suppose that for a sample of n 􏱻 11 measurements, we find that x 􏱻 72 and s 􏱻 5. Assuming normality, compute confidence intervals for the population mean m with the following levels of confidence: a 95% b 99% c 80% d 90% e 98% f 99.8%

8.37 In each of the following cases, compute 95 percent, 98 percent, and 99 percent confidence intervals for the population proportion p.

a pˆ=.4 and n=100

c pˆ=.9 and n=100

b pˆ=.1 and n=300

d pˆ=.6 and n=50

1. Suppose that we will randomly select a sample of four measurements from a larger population of measurements. The sampling distribution of the sample mean is the probability distribution of a population. In your own words, describe the units in this population. 2. Explain what is meant by a margin of error for a confidence interval. 3. Why do we need to take a preliminary sample when determining the size of the sample needed to make the margin of error of a confidence interval equal to E?