On a standard test, the population is known to have a mean of 500 and a standard deviation of 100. Those receiving an experimental treatment have a mean of 540. The effect size is \(\_\_\_\_\_\_\) (rounded off to two decimal places).
Effect size quantifies the difference between group means:
Effect size = \(\frac{\text{Mean of experimental group - Mean of population}}{\text{Standard deviation}} \)
Effect size = \(\frac{540 - 500}{100} = 0.40\) Thus, the effect size is 0.40.
The standard deviation for the following scores: 8, 6, 6, 9, 6, 5, 6, 2 is \(\_\_\_\_\_\_\) (rounded off to two decimal places).
| Sum of Square (SS) | Degree of freedom (df) | Mean Square (MS) | |
|---|---|---|---|
| Between | 54 | 3 | 18 |
| Within | 100 | 20 | 5 |
The standard deviation for the following scores: 8, 6, 6, 9, 6, 5, 6, 2 is \(\_\_\_\_\_\_\) (rounded off to two decimal places).
| Sum of Square (SS) | Degree of freedom (df) | Mean Square (MS) | |
|---|---|---|---|
| Between | 54 | 3 | 18 |
| Within | 100 | 20 | 5 |