t-tests
ANOVA
Regression
Effect Sizes
Hypothesis Testing
100

What is the difference between independent and dependent t-tests?

Independent t-tests compare means from two different groups, while dependent t-tests compare means from the same group at two points in time.

100

What does the f-statistic represent in ANOVA?

The ratio between group variance to within group variance.

100

What does the slope represent in a regression equation?

The range in the dependent variable for every one-unit increase in the IV.

100

What is Cohen’s d used for?

Measuring the effect size or magnitude of difference between two group means.

100

What is a null hypothesis?

A statement that there is no effect or no difference.

200

What is the formula for degrees of freedom in an independent t-test?

df = n1-n2-2

200

What type of question does one-way ANOVA address?

Whether the means of three or more groups differ significantly

200

What is the formula for the regression line?

Y-hat = b0 + b1X1

200

What is a small effect size for Cohen’s d?

0.2

200

What is a directional hypothesis?

A hypothesis that specifies the direction of the expected effect (e.g., μ1>μ2 ).

300

What is the null hypothesis for an independent t-test?

The means of the two groups are equal (mu1 = mu2)

300

What is the purpose of a post-hoc test in ANOVA?

To determine which specific groups differ after a significant f-statistic.

300

What is R2 in regression?

The proportion of variance in the dependent variable explained by the independent variable(s).

300

Why is effect size important even when pp-values are significant?

It provides information about the practical significance of the findings.

300

Why is it important to specify a null and alternative hypothesis in statistics?

To provide a framework for testing and interpreting results.

400

How do you determine the critical value of t?

Use the t-distribution based on the df and the significance level.

400

What is the formula for the f-statitic  in a One-Way ANOVA?

F = MSbetween/MSwithin

400

What assumption must be met regarding residuals in regression?

Residuals must be normally distributed with constant variance (homoscedasticity).

400

How is effect size calculated for an ANOVA?

eta2 = SSbetween/SStotal

400

What happens if the p-value is greater than α?

Fail to reject the null hypothesis.

500

What is the S2p in the context of t-tests?

It is the pooled variance, calculated as a weighted average of variances from two groups.

500

In ANOVA, what does the MS stand for?

Mean square, which is calculated as SS/df

500

What does the standard error of estimate measure?

The average distance between observed and predicted values.

500

What distinguishes Cohen’s d from eta2?

Cohen’s d is used for mean differences, while η2η2 measures variance explained in ANOVA.

500

What is the difference between a one-tailed and a two-tailed test?

A one-tailed test predicts a specific direction of the effect, while a two-tailed test looks for an effect in either direction.