Exam 8: Introduction to Hypothesis Testing

A researcher is evaluating a treatment that is expected to increase scores.If a one-tailed test with a = .05 is used,then the critical region consists of z-scores greater than 1.65.

Which of the following correctly describes the effect of increasing the alpha level (for example,from .01 to .05)?​

If a hypothesis test is found to have power = 0.70,then what is the probability that the test will result in a Type II error?​

A researcher expects a treatment to produce an increase in the population mean.The treatment is evaluated using a one tailed hypothesis test,and the test produces z = +1.85.Based on this result,what is the correct statistical decision?​

Which of the following will increase the power of a statistical test?​

If the power for a hypothesis test is calculated to be 0.80,then for same test,the probability of a Type II error is 0.20.

A Type I error occurs when a treatment actually does have an effect on the scores but the effect was not large enough to reject the null hypothesis.

Which of the following accurately describes the effect of increasing the sample size?​

a researcher is conducting an experiment to evaluate a treatment that is expected to increase the scores for individuals in a population which is known to have a mean of ? = 80.The results will be examined using a one-tailed hypothesis test.Which of the following is the correct statement of the null hypothesis??

When is there a risk of a Type I error?​

If the research prediction is that the treatment will decrease scores,then the critical region for a directional test will be in the left-hand tail.

In general,the null hypothesis states that the treatment has no effect on the population parameter being studied.​

Which of the following represents the probability of a Type II error?​

What is measured by the denominator of the z-score test statistic?​

What is the consequence of a Type I error?​

A directional hypothesis test is also referred to as a one-tailed test.

Even if a treatment has no effect,it is still possible to obtain an extreme sample mean that is very different from the population mean.What outcome is likely if this happens?​

A researcher conducts a hypothesis test to evaluate the effect of a treatment.The hypothesis test produces a z-score of z = 2.37.Assuming that the researcher is using a two-tailed test,what decision should be made?​

The critical boundaries for a hypothesis test are z = +1.96 and 1.96.If the z-score for the sample data is z = 1.90,then what is the correct statistical decision?

Which of the following is an accurate definition of a Type I error?​