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