Exam 19: Inferential Statistics

A one-way ANOVA would be appropriate if a researcher were comparing two or more groups (a categorical independent variable) on one quantitative dependent variable.

Choose two of the different significant tests discussed in the chapter and describe what it is and when it is used.

The probability value is also called the p value.

In a directional alternative hypothesis,

In his research, William proposed that his treatment would be so effective that the experimental group would have a higher mean than the control group. He has made a:

What hypothesis do we directly test in statistical hypothesis testing?

What does the researcher usually hope to do in hypothesis testing?

In hypothesis testing, the step that involves making the statistical decision is:

A statement that there is no difference between population means or no relationship between variables in the population is known as the:

Explain the purpose of hypothesis testing.

As shown in your book, what kind of test is used to determine whether a correlation coefficient is statistically significant?

Analysis of variance (ANOVA) is appropriate when you have one or more categorical independent variables and a quantitative dependent variable.

Which of the following is the null hypothesis for testing a correlation coefficient for statistical significance?

After analyzing her empirical data, Susan was able to reject her original hull hypothesis but later she found out that it had been true. What type of mistake had she made when she rejected her null hypothesis?

Which hypothesis is viewed as the "status quo" or the "nothing new" hypothesis?

Explain the basic logic of significance testing.

In what type of statistics do you use the value of your sample statistic as your best guess of the unknown population parameter?

Which of the following is the alternative hypothesis for the significance test for a correlation coefficient?

Which of the following is based on your empirical data and is obtained from the computer printout?

Recognize the symbols used for the mean, variance, standard deviation, correlation coefficient, proportion, and regression coefficient.