Exam 6: Sampling Distributions, Rejection Regions, and Statistical Test Selection

A researcher operationalizes the variable "marital status" as whether a client reports that he or she is married or single. He hopes to study the relationship between gender and marital status among clients in a correctional facility. What options for the selection of a test of statistical inference are available?

The central limit theorem states that, if an infinite number of relatively large (over 30) samples were to be drawn from a population in which a variable is somewhat positively skewed, the sampling distribution for those samples would be

Statistical tests of inference

Confidence intervals for very large samples are likely to be

When using a rejection level of .05, the rejection regions for a two-tailed research hypothesis lie beyond z = or + or-

How do parametric tests differ from non-parametric tests?

How can a researcher make a non-parametric test more powerful (less likely to miss a true relationship between variables)?

In which sample size is there likely to be the greatest amount of sampling error?

What is a requirement for use of parametric tests?

Which statement about sampling distributions is correct?

Why are non-parametric tests often well-suited for use in social work research?

In a sampling distribution, the formula for the standard error of the mean is

When a statistical test produces a very low p-value such as .01

When a statistical test is described as "robust," it means that the test

In parameter estimation, the range in which a population parameter is believed to fall is known as a