An independent samples t-test is used to compare two groups and is appropriate when the independent variable has two levels, while a one-way ANOVA can compare more than two groups and should be used when the independent variable has three or more levels. The document provides examples of when to use an independent samples t-test versus a one-way ANOVA based on whether the independent variable has two or more than two levels.

1. An Independent Samples t-test is used when
the independent variable has two levels:
A One-way ANOVA is used when the
independent variable has three or more levels:
Year in School
Upper Class
Lower Class
Year in School
Freshmen
Sophomores
Juniors
Seniors
Independent Variable
Independent Variable

2. Let’s Practice

3. Which high school has higher ACT scores, East,
West, or North high?
Independent
Samples t-test
One-way
ANOVA

4. Which high school has higher ACT scores, East,
West, or North high?
Independent
Samples t-test
One-way
ANOVA

5. Which high school has higher ACT scores, East,
West, or North high?
Independent
Samples t-test
One-way
ANOVA

6. Which group drives faster on the freeway, those
who drive red or blue vehicles?
Independent
Samples t-test
One-way
ANOVA

7. Which group drives faster on the freeway, those
who drive red or blue vehicles?
Independent
Samples t-test
One-way
ANOVA

8. Which group drives faster on the freeway, those
who drive red or blue vehicles?
Independent
Samples t-test
One-way
ANOVA