Quiz 3

T/F: A sample mean is not always equal to a population mean

true

T/F: If a researcher selects a sample of 64 participants from a population with a variance of 16, then the standard error of the mean will be 2.0.

false

T/F: Researchers typically sample with replacement, although the development of statistical theory was based on the use of sampling without replacement

false

T/F: The central limit theorem states that the sample mean will equal the population mean on average.

false

T/F: A z-transformation can be computed to locate sample means in a sampling distribution

true

T/F: For the experimental sampling strategy, the order in which a participant is selected does not matter, and once selected, each participant is not replaced before sampling again.

true

T/F: If a researcher selects a sample with a mean of 8, then the mean of the sampling distribution of possible sample means will also equal 8.

true

T/F: If data are reported as 12 ± 20 (M ± SEM), then the standard error of the mean is equal to 20.

true

T/F: The sample mean is an unbiased estimator, follows the central limit theorem, and has minimum variance.

true

T/F: The standard error of the mean is typically reported in a table or graph but never in the text of a research article.

false; the standard error of the mean is typically reported in a table, graph, and text