Exam 8: Testing Means: One-Sample T Test With Confidence Intervals

________ allows researchers to describe (1)how far mean scores have shifted in the population,or (2)the percentage of variance that can be explained by a given variable.

The value of power is influenced by the alpha level,sample size,and effect size.

Is a one-sample z test reported differently for one-tailed and two-tailed tests?

The test statistic determines whether or not an effect exists in a population;effect size measures the size of an observed effect in a population.

In Step 2 of hypothesis testing,researchers state a level of significance to minimize the probability of

A Type III error is only possible for hypothesis tests where the rejection region is located in one tail.

A large effect size means that Cohen's d is at least equal to .80.

What is the typical level of significance for a hypothesis test in behavioral research?

A researcher obtains z = 1.80 for a one-sample z test.What is the decision for this test at a .05 level of significance?

A researcher reports that the size of an effect in Population A is d = 0.10 and the effect size in Population B is d = 0.34.Which population is associated with greater power to detect an effect?

Based on the effect size conventions,d = 0.99 is a

Which of the following is not one of the four steps to hypothesis testing?

Which of the following is a scenario in which increasing sample size will increase power

The alpha level is basically the same thing as the p value.

When a researcher decides to retain the null hypothesis because the rejection region was located in the wrong tail,this is called a

Researchers directly control for the probability of committing a Type II error.

The z statistic measures the size of an effect in some population.

A researcher computes a z statistic and obtains z = 2.10.If this were a one-tailed (lower-tail critical)test,then the decision would be to reject the null hypothesis.

Hypothesis testing is also called

A null finding is a decision to retain a null hypothesis that is correct.