Imagine you conduct a t-test and the output reveals that Levene's test for equality of variance is not significant. What should you do? -- --- Select one: a. Use results based on equal variances not assumed. b. Use results based on equal variances assumed. С. Conduct an ANOVA instead. d. Collect more data. No 0000
Imagine you conduct a t-test and the output reveals that Levene's test for equality of variance is not significant. What should you do? -- --- Select one: a. Use results based on equal variances not assumed. b. Use results based on equal variances assumed. С. Conduct an ANOVA instead. d. Collect more data. No 0000
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:**Question 11 of 60**
- a. The data varies significantly from a normal distribution
- b. The data is significantly associated with a normal distribution
- c. The homogeneity of variance assumption is violated
- d. The QQ plot will form a straight line
---
**Question 12 of 60**
Imagine you conduct a t-test and the output reveals that Levene’s test for equality of variance is not significant. What should you do?
Select one:
- a. Use results based on equal variances not assumed.
- b. Use results based on equal variances assumed.
- c. Conduct an ANOVA instead.
- d. Collect more data.
*There are five colored icons above the question, representing different tools or resources (e.g., pen, highlight, note) but they are not active or explained further within the context of this question.*

Transcribed Image Text:**Study Overview:**
You want to run a study examining the effects of poverty on the development of antisocial behaviour. You randomly select a large group of 12-year-old children and sort them into three groups based on family income. Each year, until they are 25 years old, you measure their degree of antisocial behaviour. What test should you use to analyze these data?
**Options:**
Select one:
a. One-way repeated-measures ANOVA
b. Two-way mixed-design ANOVA
c. Two-way repeated-measures ANOVA
d. Two-way independent-measures ANOVA
**Graph/Diagram Explanation:**
There is no graph or diagram to explain in this text. The content is part of a questionnaire, providing options for selecting the appropriate test for data analysis.
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