8. A researcher uses an ANOVA to compare six treatment 12 in each treatment. conditions with a sample of n For this analysis, find dftotal, dfbetween, and dfwithin- -
8. A researcher uses an ANOVA to compare six treatment 12 in each treatment. conditions with a sample of n For this analysis, find dftotal, dfbetween, and dfwithin- -
Ciccarelli: Psychology_5 (5th Edition)
5th Edition
ISBN:9780134477961
Author:Saundra K. Ciccarelli, J. Noland White
Publisher:Saundra K. Ciccarelli, J. Noland White
Chapter1: The Science Of Psychology
Section: Chapter Questions
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#8- need help show full work psyc stats

Transcribed Image Text:**Problem 8:**
A researcher uses an ANOVA to compare six treatment conditions with a sample of \( n = 12 \) in each treatment. For this analysis, find \( df_{\text{total}} \), \( df_{\text{between}} \), and \( df_{\text{within}} \).
---
**Explanation:**
In ANOVA, the degrees of freedom are calculated to understand how many values in the final calculation are free to vary:
- **Total Degrees of Freedom (\( df_{\text{total}} \)):**
- Formula: \( N - 1 \)
- Where \( N \) is the total number of observations. Here, \( N = \text{Number of Treatments} \times \text{Sample Size per Treatment} = 6 \times 12 = 72 \).
- Thus, \( df_{\text{total}} = 72 - 1 = 71 \).
- **Between-Groups Degrees of Freedom (\( df_{\text{between}} \)):**
- Formula: \( k - 1 \)
- Where \( k \) is the number of treatment groups. Here, \( k = 6 \).
- Thus, \( df_{\text{between}} = 6 - 1 = 5 \).
- **Within-Groups Degrees of Freedom (\( df_{\text{within}} \)):**
- Formula: \( N - k \)
- Given \( N = 72 \) and \( k = 6 \),
- Thus, \( df_{\text{within}} = 72 - 6 = 66 \).
These calculations help determine the variance within treatments and between treatments to assess any significant differences using ANOVA.
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