O ANOVA Compare anxiety across 3 time-points. Assume a within subjects design. Calculate F values 1 2 3 4 1 22 31 20 23 Anxiety Anxiety 2 3 38 40 32 33 42 50 43 37
O ANOVA Compare anxiety across 3 time-points. Assume a within subjects design. Calculate F values 1 2 3 4 1 22 31 20 23 Anxiety Anxiety 2 3 38 40 32 33 42 50 43 37
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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-What is the DF between and DF within?
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Transcribed Image Text:The image appears to be a slide from a presentation on ANOVA (Analysis of Variance) used to compare anxiety levels across three different time points. Here's the transcription and explanation:
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### ANOVA
- **Objective:** Compare anxiety across 3 time-points.
- **Design:** Assume a within-subjects design.
- **Analysis:** Calculate F values.
### Data Table: Anxiety Scores
| Subject | Anxiety 1 | Anxiety 2 | Anxiety 3 |
|---------|-----------|-----------|-----------|
| 1 | 22 | 38 | 42 |
| 2 | 31 | 40 | 50 |
| 3 | 20 | 32 | 43 |
| 4 | 23 | 33 | 37 |
#### Description:
The table presents the anxiety scores of four subjects across three time points. The within-subjects design suggests that the same subjects are measured multiple times. The goal is to examine if there are statistically significant differences in anxiety levels over these time periods using ANOVA. Calculating the F values will help determine if observed differences are significant.
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