Are couples that live together before they get married just as likely to end up divorced within five years of marriage compared to couples that live apart before they get married? 215 of the 628 couples from the study who lived together before they got married were divorced within five years of marriage. 123 of the 467 couples from the study who lived apart before they got married were divorced within five years of marriage. What can be concluded at the a = 0.05 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Ho: Select an answer Select an answer Select an answer H1: Select an answer Select an answer Select an answer b. The test statistic ? v = (please show your answer to 3 decimal places.) c. The p-value = d. The p-value is ? a e. Based on this, we should Select an answer f. Thus, the final conclusion is that ... (Please show your answer to 4 decimal places.) the null hypothesis. O The results are statistically significant at a = 0.05, so there is sufficient evidence to conclude that the percent of the 628 couples that lived together before they got married who ended up divorced within five years of marriage is not the same as the percent of the 467 couples that lived apart before they got married who ended up divorced within five years of marriage.

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parts a, b, and c please

**Educational Content: Statistical Hypothesis Testing**

**Problem Statement:**

Are couples that live together before they get married just as likely to end up divorced within five years of marriage compared to couples that live apart before they get married?

- From the study:
  - 628 couples lived together before marriage, with 215 divorcing within five years.
  - 467 couples lived apart before marriage, with 123 divorcing within five years.

**Objective:**

Determine conclusions at the \(\alpha = 0.05\) level of significance.

---

**Steps for Hypothesis Testing:**

1. **Select the Appropriate Test:**
   - Choose the test for comparing two proportions (e.g., Z-test for proportions).

2. **Define Hypotheses:**
   - Null Hypothesis (\(H_0\)): The divorce rates are equal for both groups.
   - Alternative Hypothesis (\(H_1\)): The divorce rates are not equal for both groups.
   
3. **Test Statistic Calculation:**
   - Compute the test statistic (e.g., Z-value). Show your answer to three decimal places.
   
4. **P-value Calculation:**
   - Determine the p-value. Show the answer to four decimal places.
   
5. **Compare P-value and \(\alpha\):**
   - If \( p \leq \alpha \), reject \(H_0\).
   - If \( p > \alpha \), fail to reject \(H_0\).

6. **Conclusion:**
   - Based on the comparison, decide to reject or not reject the null hypothesis.

---

**Decision Statements:**

- **Option 1:** Results are statistically significant (\( p \leq \alpha \)), indicating different divorce rates for the two groups.
- **Option 2:** Results are statistically insignificant (\( p > \alpha \)), indicating no evidence of different divorce rates.
- **Option 3:** Statistically significant evidence for equal divorce rates.
- **Option 4:** Statistically insignificant evidence for equal divorce rates.

The final conclusion will be determined based on the calculations and comparison with \(\alpha = 0.05\).
Transcribed Image Text:**Educational Content: Statistical Hypothesis Testing** **Problem Statement:** Are couples that live together before they get married just as likely to end up divorced within five years of marriage compared to couples that live apart before they get married? - From the study: - 628 couples lived together before marriage, with 215 divorcing within five years. - 467 couples lived apart before marriage, with 123 divorcing within five years. **Objective:** Determine conclusions at the \(\alpha = 0.05\) level of significance. --- **Steps for Hypothesis Testing:** 1. **Select the Appropriate Test:** - Choose the test for comparing two proportions (e.g., Z-test for proportions). 2. **Define Hypotheses:** - Null Hypothesis (\(H_0\)): The divorce rates are equal for both groups. - Alternative Hypothesis (\(H_1\)): The divorce rates are not equal for both groups. 3. **Test Statistic Calculation:** - Compute the test statistic (e.g., Z-value). Show your answer to three decimal places. 4. **P-value Calculation:** - Determine the p-value. Show the answer to four decimal places. 5. **Compare P-value and \(\alpha\):** - If \( p \leq \alpha \), reject \(H_0\). - If \( p > \alpha \), fail to reject \(H_0\). 6. **Conclusion:** - Based on the comparison, decide to reject or not reject the null hypothesis. --- **Decision Statements:** - **Option 1:** Results are statistically significant (\( p \leq \alpha \)), indicating different divorce rates for the two groups. - **Option 2:** Results are statistically insignificant (\( p > \alpha \)), indicating no evidence of different divorce rates. - **Option 3:** Statistically significant evidence for equal divorce rates. - **Option 4:** Statistically insignificant evidence for equal divorce rates. The final conclusion will be determined based on the calculations and comparison with \(\alpha = 0.05\).
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