Chapter 7

Question 1

Sampling Error

Answer 1

is the natural discrepancy, or amount of error, between a sample statistic and its corresponding population parameter.

Question 2

Distribution of sample means

Answer 2

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

Question 3

Sampling distribution

Answer 3

is distribution of statistics obtained by selecting all the possible samples of a specific size from a population.

Question 4

Central limit theorem

Answer 4

For any population with a mean μ and standard deviation or, the distribution of sample means for sample size n with have a mean of μ and a standardized deviation or of σ/√ n and will approach a normal distribution as n approaches infinity.

Question 5

Expected value of M

Answer 5

The mean of the distribution of sample means is equal to the mean of the population of scores μ.

Question 6

Standard error of M

Answer 6

The standard error provides a measure of how much distance is expected on average between a sample mean (M) and the population μ.

Question 7

Law of large numbers

Answer 7

States that the large the sample size (n) the more probable it is that the sample mean will be close to the population mean.