Test the claim that the mean GPA of night students is larger than 3.3 at the 0.005 significance level. The null and alternative hypothesis would be: Ho: 3.3 Ho: ≤ 3.3 Ho:p ≤ 0.825 Ho: p = 0.825 Ho:p ≥ 0.825 Ho:μ = 3.3 H₁: 3.3 H₁:μ> 3.3 H₁:p> 0.825 H₁:p 0.825 H₁:p < 0.825 H₁:μ 3.3 The test is: two-tailed right-tailed left-tailed Based on a sample of 50 people, the sample mean GPA was 3.33 with a standard deviation of 0.06 The p-value is: (to 2 decimals) Based on this we: Reject the null hypothesis Fail to reject the null hypothesis

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### Hypothesis Testing: Mean GPA of Night Students

#### Problem Statement:
Test the claim that the mean GPA of night students is larger than 3.3 at the 0.005 significance level.

#### Null and Alternative Hypothesis:
The null and alternative hypothesis would be:
- \(H_0: \mu \leq 3.3\)
- \(H_1: \mu > 3.3\)

#### Nature of the Test:
The test is:
- Right-tailed

#### Sample Data:
Based on a sample of 50 people, the sample mean GPA was 3.33 with a standard deviation of 0.06.

#### P-Value:
The p-value is: [Input p-value here] (to 2 decimals)

#### Conclusion:
Based on this, we:
- Reject the null hypothesis
- Fail to reject the null hypothesis

**Note:** Actual p-value and conclusion depend on further statistical computations.
Transcribed Image Text:### Hypothesis Testing: Mean GPA of Night Students #### Problem Statement: Test the claim that the mean GPA of night students is larger than 3.3 at the 0.005 significance level. #### Null and Alternative Hypothesis: The null and alternative hypothesis would be: - \(H_0: \mu \leq 3.3\) - \(H_1: \mu > 3.3\) #### Nature of the Test: The test is: - Right-tailed #### Sample Data: Based on a sample of 50 people, the sample mean GPA was 3.33 with a standard deviation of 0.06. #### P-Value: The p-value is: [Input p-value here] (to 2 decimals) #### Conclusion: Based on this, we: - Reject the null hypothesis - Fail to reject the null hypothesis **Note:** Actual p-value and conclusion depend on further statistical computations.
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