22. To create the following data we started with the same sample means and variances that appeared in problem 21 but doubled the sample size to n 10. Treatment
22. To create the following data we started with the same sample means and variances that appeared in problem 21 but doubled the sample size to n 10. Treatment
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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
Transcribed Image Text:**Exercise 22 Explanation for Educational Website:**
This exercise involves modifying data from a previous problem (Problem 21) by doubling the sample size to \( n = 10 \) while keeping the same sample means and variances. The task is to analyze how this change impacts the F-ratio using ANOVA. The data is presented in a table divided into three treatments (I, II, and III).
**Table Layout:**
- Each treatment has the following parameters:
- **n**: Sample size \( (n = 10) \)
- **M**: Sample mean
- **T**: Total sum of scores in the treatment
- **s²**: Sample variance
- **SS**: Sum of squares for the treatment
**Treatment Details:**
- **Treatment I:**
- \( n = 10 \)
- \( M = 1 \)
- \( T = 10 \)
- \( s² = 9.00 \)
- \( SS = 81 \)
- **Treatment II:**
- \( n = 10 \)
- \( M = 5 \)
- \( T = 50 \)
- \( s² = 10.00 \)
- \( SS = 90 \)
- **Treatment III:**
- \( n = 10 \)
- \( M = 6 \)
- \( T = 60 \)
- \( s² = 11.00 \)
- \( SS = 99 \)
**Overall Data:**
- Total sum of all treatments (\( \Sigma X² = 890 \))
- \( N = 30 \) (Total number of data points across all treatments)
- Grand total (\( G = 120 \))
**Exercise Requirement:**
a. **Prediction and Analysis:**
- Predict how increasing the sample size affects the F-ratio for these data compared to the values from Problem 21.
- Use an ANOVA with \( \alpha = 0.05 \) to test this prediction.
- Note: Since the samples are of the same size, \( MS_{within} \) (Mean Square Within) is the average of the three sample variances.
This exercise provides a hands-on understanding of how sample size influences statistical analysis using the ANOVA method.
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