True or False Questions

Question 1

When using the chi-square test statistic, "expected" frequencies are those that researchers observe in the sample.

True

False

Question 2

When adding a control variable does not affect the statistical significance of relationships, the result is called replication.

True

False

Question 3

A 5 percent level of significance suggests a higher level of confidence than a 1 percent level of significance.

True

False

Question 4

When both variables are categorical, the t-test should be used for hypothesis testing.

True

False

Question 5

One-tailed tests are used most often, unless compelling a priori knowledge exists or it is known that one group cannot have a larger mean than the other.

True

False

Question 6

If the Levine's test shows an inequality of variances, you can trust either t-test number produced in SPSS.

True

False

Question 7

Nonnormality is sometimes overcome through variable transformation.

True

False

Question 8

A paired t-test is best for pretest/post-test analyses.

True

False

Question 9

When problems of nonnormality cannot be resolved adequately, analysts should consider nonparametric alternatives to the t-test.

True

False

Question 10

The Spearman's Rho is an independent-samples test that is analogous to correlation.

True

False

Question 11

Simple regression is appropriate for examining the bivariate relationships between two continuous variables.

True

False

Question 12

The null hypothesis in regression is that the intercept is zero.

True

False

Question 13

A scatterplot is a plot of the data points of two continuous variables.

True

False

Question 14

R-square is called the coefficient of determination.

True

False

Question 15

A negative slope in regression, indicates an upward sloping line.

True

False

Question 16

In multiple regression, significance is of the model is determined by the F-test.

True

False

Question 17

R-square is the percent variation of the dependent variable explained by the independent variable(s).

True

False

Question 18

R-square varies from 1 to 2.

True

False

Question 19

The Spearman's rank order correlation coefficient tests whether the rank orders of responses of two variables are statistically associated.

True

False

Question 20

T values allow us to see which variables in a multiple regression model are significant in explaining the variance in the dependent model.

True

False

Question 21

The error term accounts for all variables not specified in the model.

True

False

Question 22

It is okay for independent variables not to be correlated with the dependent variables, as long as they are highly correlated with each other.

True

False

Question 23

The global F-test examines the significance of the overall effect of all independent variables, jointly on the dependent variable.

True

False

Question 24

A dummy variable can have only two values, 0 and 1.

True

False

Question 25

Heteroscedasticity occurs when one of the dependent variables is linearly related to the independent variable.

True

False

Question 26

Outliers are observations whose multiple regression residuals exceed three standard deviations from the regression line or plane.

True

False

Question 27

It is okay to include irrelevant variables in a regression model, as long as they are significant.

Group of answer choices

True

False