The image presents a statistical table often used in the analysis of variance (ANOVA). Here is a detailed transcription of the content and explanation: | Source | SS | df | MS | F | η² | |----------|--------|----|------|------|-----| | Between | 48.56 | 2 | 24.28| 5.43 | 0.42| | Within | 67.06 | 15 | 4.47 | | | | Total | 115.62 | 17 | | | | ### Explanation: - **Source**: Indicates the source of variation in the data. "Between" refers to the variation between different groups, while "Within" refers to the variation within a single group. - **SS (Sum of Squares)**: Represents the total variation for each source. - **Between**: 48.56 - **Within**: 67.06 - **Total**: 115.62 - **df (Degrees of Freedom)**: Reflects the number of values that are free to vary. - **Between**: 2 - **Within**: 15 - **Total**: 17 - **MS (Mean Square)**: The average variation, calculated as SS divided by the corresponding df. - **Between**: 24.28 - **Within**: 4.47 - **F (F-ratio)**: The ratio of the variance between the groups to the variance within the groups. - **Between**: 5.43 - **η² (Eta squared)**: A measure of effect size, indicating the proportion of the total variance that is attributable to the factor. - **Between**: 0.42 This table provides a concise summary of the results from an ANOVA test, helping to determine whether there are statistically significant differences between group means.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question

Based on the summary table would you preform a Tukey test if so use the following means to explain the group difference using CD= 4.07 [Group A= 82, group B=76, Group c=72

The image presents a statistical table often used in the analysis of variance (ANOVA). Here is a detailed transcription of the content and explanation:

| Source   | SS     | df | MS   | F    | η²  |
|----------|--------|----|------|------|-----|
| Between  | 48.56  | 2  | 24.28| 5.43 | 0.42|
| Within   | 67.06  | 15 | 4.47 |      |     |
| Total    | 115.62 | 17 |      |      |     |

### Explanation:

- **Source**: Indicates the source of variation in the data. "Between" refers to the variation between different groups, while "Within" refers to the variation within a single group.

- **SS (Sum of Squares)**: Represents the total variation for each source.

  - **Between**: 48.56
  - **Within**: 67.06
  - **Total**: 115.62

- **df (Degrees of Freedom)**: Reflects the number of values that are free to vary.

  - **Between**: 2
  - **Within**: 15
  - **Total**: 17

- **MS (Mean Square)**: The average variation, calculated as SS divided by the corresponding df.

  - **Between**: 24.28
  - **Within**: 4.47

- **F (F-ratio)**: The ratio of the variance between the groups to the variance within the groups.

  - **Between**: 5.43

- **η² (Eta squared)**: A measure of effect size, indicating the proportion of the total variance that is attributable to the factor.

  - **Between**: 0.42

This table provides a concise summary of the results from an ANOVA test, helping to determine whether there are statistically significant differences between group means.
Transcribed Image Text:The image presents a statistical table often used in the analysis of variance (ANOVA). Here is a detailed transcription of the content and explanation: | Source | SS | df | MS | F | η² | |----------|--------|----|------|------|-----| | Between | 48.56 | 2 | 24.28| 5.43 | 0.42| | Within | 67.06 | 15 | 4.47 | | | | Total | 115.62 | 17 | | | | ### Explanation: - **Source**: Indicates the source of variation in the data. "Between" refers to the variation between different groups, while "Within" refers to the variation within a single group. - **SS (Sum of Squares)**: Represents the total variation for each source. - **Between**: 48.56 - **Within**: 67.06 - **Total**: 115.62 - **df (Degrees of Freedom)**: Reflects the number of values that are free to vary. - **Between**: 2 - **Within**: 15 - **Total**: 17 - **MS (Mean Square)**: The average variation, calculated as SS divided by the corresponding df. - **Between**: 24.28 - **Within**: 4.47 - **F (F-ratio)**: The ratio of the variance between the groups to the variance within the groups. - **Between**: 5.43 - **η² (Eta squared)**: A measure of effect size, indicating the proportion of the total variance that is attributable to the factor. - **Between**: 0.42 This table provides a concise summary of the results from an ANOVA test, helping to determine whether there are statistically significant differences between group means.
AI-Generated Solution
AI-generated content may present inaccurate or offensive content that does not represent bartleby’s views.
steps

Unlock instant AI solutions

Tap the button
to generate a solution

Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman