est the hypothesis that o1 > 02 at the a = 0.01 level of significance for the giv Population 1 Population 2 %3D 61 31 34.4 27.6 D Test statistic: F = 1.25. Critical value 2.21. Do not reject Hg. %3D %3D O Test statistic: F = 1.55. Critical value = 2.03. Reject Ho- %3D O Test statistic: F = 1.55. Critical value = 2.21. Do not reject Ho. Tart statistic:- F = 42. 88. Critical value = 2.03. Reject Ho-

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## Hypothesis Testing for Variances

### Problem Statement
Test the hypothesis that \( \sigma_1 > \sigma_2 \) at the \( \alpha = 0.01 \) level of significance for the given sample data.

### Sample Data
The sample data for two populations is provided in the following table:

|          | Population 1 | Population 2 |
|----------|--------------|--------------|
| **n**    | 61           | 31           |
| **s**    | 34.4         | 27.6         |

### Hypothesis Testing

We are testing the hypothesis \( H_0: \sigma_1 \le \sigma_2 \) against the alternative hypothesis \( H_1: \sigma_1 > \sigma_2 \). The test statistic for comparing two variances is the F-statistic.

### Decision Criteria
Calculate the F-statistic and compare it with the critical value from the F-distribution table at the \( \alpha = 0.01 \) significance level.

### Options for the Test Statistic and Critical Value

- \( \circ \) Test statistic: \( F = 1.25 \). Critical value = 2.21. Do not reject \( H_0 \).
- \( \circ \) Test statistic: \( F = 1.55 \). Critical value = 2.03. Reject \( H_0 \).
- \( \circ \) Test statistic: \( F = 1.55 \). Critical value = 2.21. Do not reject \( H_0 \).
- \( \circ \) Test statistic: \( F = 42.88 \). Critical value = 2.03. Reject \( H_0 \).

Make sure to select the correct F-statistic and corresponding critical value, and then apply the decision rule to determine whether to reject or not reject the null hypothesis \( H_0 \).
Transcribed Image Text:## Hypothesis Testing for Variances ### Problem Statement Test the hypothesis that \( \sigma_1 > \sigma_2 \) at the \( \alpha = 0.01 \) level of significance for the given sample data. ### Sample Data The sample data for two populations is provided in the following table: | | Population 1 | Population 2 | |----------|--------------|--------------| | **n** | 61 | 31 | | **s** | 34.4 | 27.6 | ### Hypothesis Testing We are testing the hypothesis \( H_0: \sigma_1 \le \sigma_2 \) against the alternative hypothesis \( H_1: \sigma_1 > \sigma_2 \). The test statistic for comparing two variances is the F-statistic. ### Decision Criteria Calculate the F-statistic and compare it with the critical value from the F-distribution table at the \( \alpha = 0.01 \) significance level. ### Options for the Test Statistic and Critical Value - \( \circ \) Test statistic: \( F = 1.25 \). Critical value = 2.21. Do not reject \( H_0 \). - \( \circ \) Test statistic: \( F = 1.55 \). Critical value = 2.03. Reject \( H_0 \). - \( \circ \) Test statistic: \( F = 1.55 \). Critical value = 2.21. Do not reject \( H_0 \). - \( \circ \) Test statistic: \( F = 42.88 \). Critical value = 2.03. Reject \( H_0 \). Make sure to select the correct F-statistic and corresponding critical value, and then apply the decision rule to determine whether to reject or not reject the null hypothesis \( H_0 \).
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