Test the claim that the mean GPA of night students is smaller than the mean GPA of day students at the 0.025 significance level. The null and alternative hypothesis would be: Ho: PN PD Ho: N = PD Ho: PN = PD H1: PNPD H1:N HD H1: PNPD The test is: two-tailed right-tailed left-tailed O O The sample consisted of 75 night students, with a sample mean GPA of 3.4 and a standard deviation of 0.03, and 75 day students, with a sample mean GPA of 3.45 and a standard deviation of 0.05. (to 2 decimals) The test statistic is: The p-value is: Based on this we: Ho: PN ≥ PD Ho: PN HD HO: N≥ HD H1:PN D H1: N < HD Reject the null hypothesis Fail to reject the null hypothesis (to 2 decimals)

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**Educational Resource: Hypothesis Testing in Academic Research**

**Problem Statement:**
Test the claim that the mean GPA of night students is smaller than the mean GPA of day students at the 0.025 significance level.

**Formulating Hypotheses:**
The null and alternative hypothesis would be:

- \( H_0: \mu_N \geq \mu_D \)
- \( H_1: \mu_N < \mu_D \)

**Test Type:**
The test is a left-tailed test.

**Sample Data:**
- Night students: 75 students, mean GPA = 3.4, standard deviation = 0.03
- Day students: 75 students, mean GPA = 3.45, standard deviation = 0.05

**Calculation of Test Statistic:**
The test statistic is: [ ] (to 2 decimals)

**Calculation of P-value:**
The P-value is: [ ] (to 2 decimals)

**Conclusion:**
Based on this we:
- [ ] Reject the null hypothesis
- [ ] Fail to reject the null hypothesis

**Note:** Further calculations are required to determine the test statistic and P-value, which can be done using statistical software or detailed manual computation.
Transcribed Image Text:**Educational Resource: Hypothesis Testing in Academic Research** **Problem Statement:** Test the claim that the mean GPA of night students is smaller than the mean GPA of day students at the 0.025 significance level. **Formulating Hypotheses:** The null and alternative hypothesis would be: - \( H_0: \mu_N \geq \mu_D \) - \( H_1: \mu_N < \mu_D \) **Test Type:** The test is a left-tailed test. **Sample Data:** - Night students: 75 students, mean GPA = 3.4, standard deviation = 0.03 - Day students: 75 students, mean GPA = 3.45, standard deviation = 0.05 **Calculation of Test Statistic:** The test statistic is: [ ] (to 2 decimals) **Calculation of P-value:** The P-value is: [ ] (to 2 decimals) **Conclusion:** Based on this we: - [ ] Reject the null hypothesis - [ ] Fail to reject the null hypothesis **Note:** Further calculations are required to determine the test statistic and P-value, which can be done using statistical software or detailed manual computation.
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