L8 ANOVA

L8 ANOVA

Professional Development

20 Qs

quiz-placeholder

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L8 ANOVA

L8 ANOVA

Assessment

Quiz

Others

Professional Development

Medium

Created by

College Sam

Used 2+ times

FREE Resource

20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of a one-way between-groups ANOVA?

To calculate the variance within individual groups.

To compare the means of two independent groups.

To compare the means of three or more independent groups.

To determine the relationship between two variables.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a statistically significant F value in ANOVA indicate?

That the effect size is negligible.

That the data are not consistent with the null hypothesis.

That the variances are equal across all groups.

That the sample size is too small.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the two types of ANOVA?

One-tailed and two-tailed ANOVA.

Between-groups and within-groups ANOVA.

Single-factor and multi-factor ANOVA.

Paired and unpaired ANOVA.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is variance partitioned in an ANOVA?

Into standard deviations and means.

Into variance of samples and variance of populations.

Into error variance and effect variance.

Into p-values and F values.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the F value in ANOVA represent?

The correlation between two variables.

The ratio of effect variance to error variance.

The difference between the highest and lowest means.

The sum of all variances across groups.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens if the F value is large in ANOVA?

The p-value increases, and the effect size decreases.

The effect size remains the same.

The p-value decreases, and the effect size increases.

The variances between groups become equal.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main purpose of post-hoc tests in ANOVA?

To standardize the alpha level across all groups.

To confirm the validity of the F value.

To calculate the p-value of the entire model.

To determine which groups differ after a significant ANOVA result.

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