Chapter 7

Question 1

Population Mean

Answer 1

Question 2

Population Standard Deviation

Answer 2

Question 3

Standard Error of the Mean

Answer 3

Question 4

Finding Z for the Sampling Distribution of the Mean

Answer 4

Finding how a sample mean, x̅, differs from the population mean. By substituting x̅ for x, µ_x̅ for µ, and σ_x̅ for σ in the equation for finding Z, you get the following:

Question 5

Finding x̄ for the Sampling Distribution of the Mean

Answer 5

Question 6

Sample Proportion

Answer 6

Question 7

Standard Error of the Proportion

Answer 7

Question 8

Finding Z for the Sampling Distribution of the Proportion

Answer 8

Question 9

Central Limit Theorem

Answer 9

As the sample size gets large enough, the sampling distribution of the mean is approximately normally distributed. This is true regardless of the shape of the distribution of hte individual values in the population.

Question 10

sampling distribution of the mean

Answer 10

the distribution of all possible sample means if you select all possible samples of a given size

Question 11

sampling distribution of the proportion

Answer 11

follows the binomial distribution when sampling with replacement.

However, you can use the normal distribution to approximate the binomial distribution when

nπ and n(1 - π) are each at least 5

Question 12

unbiased

Answer 12

the sample mean is unbiased because teh mean of all the possible sample means (of a given sample size, n) is equal to the population mean, µ.