Exam 17: Hypothesis Testing

Hypothesis testing of the effectiveness of two experimental manipulations against a control group finds that there is a significant difference in the mean score by group and the null hypothesis is rejected.Which test below can be used to determine where a difference exists?

As one increases the significance level accepted for hypothesis testing,the probability of committing a type II error _____.

When sample sizes exceed _____,the t and Z distributions are virtually identical.

_____ statistics considers subjective probability estimates while _____ statistics considers only objective estimates.

List the six-stage sequence for testing statistical significance.

The region of acceptance and the region of rejection are determined by the _____.

The level of significance chosen for hypothesis testing is based on _____.

If a data difference is NOT caused only by random sampling fluctuations,it is said to have _____.

Which type of error is also known as alpha?

Which of the following is NOT true of the Kruskal-Wallis test?

Which of the following hypotheses is a null hypothesis?

Which of the following outcomes is roughly the equivalent of committing a type I error?

What are the assumptions for using parametric tests for hypothesis testing?

Statisticians recommend that the power of a test equal _____,that is,the probability that one will correctly reject a false null hypothesis.

Which of the following involves a test of k-independent-samples?

_____ tests are hypothesis testing procedures that assume that the variables are measured on a nominal or ordinal scale.

How can a researcher determine whether data meet the assumption of normality necessary for using parametric tests?

ANOVA can be used as a parametric test of _____.

When conducting an ANOVA,if the F ratio is close to 1,which of the following interpretations is true?

What type of hypothesis states that the sample statistic is not the same as the population statistic but is either greater than or less than,but not both?