chapter 12

Question 1

What is Sampling Error

Answer 1

The amount of error between a sample statistic and the population parameter

Question 2

What is the Distribution of Sample Means

Answer 2

collection of sample means for all the possible random samples of a particular size (n) that can be obtained from a population

Question 3

What are characteristics of distribution of sample means

Answer 3

• The sample means pile up around the
  population mean.
• The distribution of sample means is
  approximately normal in shape.
• The larger the sample size, the closer the
  sample means should be to the population
  mean.

Question 4

What is Critical Region

Answer 4

(for rejection of the null hypothesis): The area under the curve that contains all the values of the statistic that allow rejection of the null hypothesis

Question 5

What is Critical Value

Answer 5

(of a statistic): the value that
bounds the critical region.

Question 6

Central Limit Theorem

Answer 6

If we repeatedly take independent random samples of size n from any population, then when n is large, the distribution of the sample means will approach a normal distribution.

Question 7

Conditions for Use of the one-
sample z Test

Answer 7

• sampling distribution of the mean must be normally distributed
• x̄ is known
• μ and σ are known