2. A researcher had rats engage in a lever-press task for either a small, medium, or larger reward. The number of lever presses was the dependent variable. The data were as follows: Reward Size Small Medium Large 1 4 4 3 5 1 4 4 5 T= 6 T= 13 T= 20 SS = 9 SS = 2.75 SS = 2 EX² = 165 a. Do the data indicate that reward size had a significant impact on lever-pressing? Use the hypothesis testing steps & p = .05. Compute any necessary post-hoc tests. b. Compute eta-squared to measure the effect size.

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2. A researcher had rats engage in a lever-press task for either a small, medium, or larger reward. The number of lever presses was the dependent variable. The data were as follows:

|             | Reward Size |
|-------------|----------------|
|             | Small | Medium | Large |
| ---         | ------|--------|-------|
| Values      |   1   |    4   |   6   |
|             |   4   |    3   |   5   |
|             |   1   |    4   |   4   |
|             |   0   |    2   |   5   |
| Totals (T)  |   6   |   13   |  20   |
| SS (Sum of Squares) |  9  |  2.75  |  2   |

The sum of squares of the values across all conditions (ΣX²) is 165.

a. Do the data indicate that reward size had a significant impact on lever-pressing? Use the hypothesis testing steps & p = .05. Compute any necessary post-hoc tests.

b. Compute eta-squared to measure the effect size.
Transcribed Image Text:2. A researcher had rats engage in a lever-press task for either a small, medium, or larger reward. The number of lever presses was the dependent variable. The data were as follows: | | Reward Size | |-------------|----------------| | | Small | Medium | Large | | --- | ------|--------|-------| | Values | 1 | 4 | 6 | | | 4 | 3 | 5 | | | 1 | 4 | 4 | | | 0 | 2 | 5 | | Totals (T) | 6 | 13 | 20 | | SS (Sum of Squares) | 9 | 2.75 | 2 | The sum of squares of the values across all conditions (ΣX²) is 165. a. Do the data indicate that reward size had a significant impact on lever-pressing? Use the hypothesis testing steps & p = .05. Compute any necessary post-hoc tests. b. Compute eta-squared to measure the effect size.
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