Chapter 8 Sampling Distributions

Question 1

Sampling Distribution:

Answer 1

The distribution of a statistic across all possible samples of a given size from a population.

Question 2

Standard Error:

Answer 2

The standard deviation of a sampling distribution, measuring the variability of sample statistics.

Question 3

Central Limit Theorem:

Answer 3

States that the sampling distribution of means becomes normal as sample size increases.

Question 4

Law of Large Numbers:

Answer 4

Principle stating that larger samples provide more accurate estimates of population parameters.

Question 5

Sampling Error:

Answer 5

The difference between a sample statistic and its corresponding population parameter.

Question 6

Distribution of Sample Means:

Answer 6

The sampling distribution specifically for sample means.

Question 7

Sample Size Effect:

Answer 7

How increasing sample size decreases standard error and improves estimation accuracy.

Question 8

Z-test:

Answer 8

A statistical test using the standard normal distribution to analyze sample means.

Question 9

Random Sampling:

Answer 9

Selection method where each population member has an equal chance of being chosen.

Question 10

Standard Error of the Mean:

Answer 10

The standard deviation of the sampling distribution of means.