Exam 5: Hypothesis Testing: Basic Principles

If you were to have simply guessed the answer for each of the two previous questions, what is the mathematical probability that you would have gotten them both right?

If a researcher reduces the likelihood of making a Type I error by using a .01 rejection level rather than the traditional .05 level, she:

Effect size refers to:

What factor that influences the statistical power of an analysis of the relationship between variables can be most easily controlled?

A "true relationship" between variables is one that exists:

The natural tendency of research samples to differ from the population from which they were drawn and from each other is known as:

The term "Type II error" refers to

A "null finding" that two variables believed to be related are really unrelated:

When social workers tend to answer questions about social issues based on what they think they should believe about them (rather than what they really believe) this is an example of:

A statistically significant relationship between variables within a research sample is one in which:

A statistically significant relationship between variables within a research sample may not be:

The "null hypothesis" states that:

A null research hypothesis predicts that:

A p value is the mathematical probability that a relationship between variables within a research sample could have been produced by:

When variables are related within data drawn from a research sample, the relationship may have been caused by: