Single Policyholders n₁ = 900 number making claims = 153 Ho: P₁ P₂ = 0 H₂₁: P₁ P₂ = 0 O Ho: P₁ P₂ > 0 HP₁P₂0 Married Policyholders (a) Use a = 0.05. Test to determine whether the claim rates differ between single and married male policyholders. State the null and alternative hypotheses. (Let p₁ = claim rate for single male policyholders and P₂ = claim rate for married male policy holders.) O Ho: P₁ P₂ So H: P₁ P₂ > 0 Ho: P₁ P₂ = 0 H₂: P₁ P₂ #0 Ho: P₁ P₂ 20 n₂ = 400 number making claims 32

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I need help with parts a AND b (towards the bottom of the page), please and thank you 

**Study on Insurance Claim Rates: A Comparative Analysis of Single and Married Male Policyholders**

A large automobile insurance company conducted a study by selecting samples of single and married male policyholders. The study focused on the number who made an insurance claim over a three-year period. The findings are summarized in the table below:

|                | Single Policyholders | Married Policyholders |
|----------------|----------------------|-----------------------|
| Sample Size    | \( n_1 = 900 \)      | \( n_2 = 400 \)       |
| Made Claims    | 153                  | 32                    |

### Hypothesis Testing

**Goal:** Determine if there is a significant difference in claim rates between single and married male policyholders using a significance level of \( \alpha = 0.05 \).

#### Null and Alternative Hypotheses

Let \( p_1 \) represent the claim rate for single male policyholders and \( p_2 \) for married male policyholders. The hypotheses are stated as follows:

- Null Hypothesis \( (H_0): p_1 - p_2 = 0 \)
- Alternative Hypothesis \( (H_a): p_1 - p_2 \neq 0 \)

The chosen alternative hypothesis is highlighted with a check mark in the list provided.

#### Statistical Testing

1. **Test Statistic:**  
   The value of the test statistic needs to be entered and rounded to two decimal places.

2. **P-value:**  
   The p-value is required to be rounded to four decimal places.

3. **Conclusion:**  
   The correct conclusion is to reject \( H_0 \), indicating that there is a statistically significant difference in claim rates between single and married male policyholders.

### Confidence Interval

**95% Confidence Interval:** Calculate the interval for the difference between the proportions for the two populations. The responses need to be rounded to four decimal places and provided for both lower and upper bounds.

This study provides vital insight into the behavioral differences in insurance claims between different demographics, aiding in more personalized policy development.
Transcribed Image Text:**Study on Insurance Claim Rates: A Comparative Analysis of Single and Married Male Policyholders** A large automobile insurance company conducted a study by selecting samples of single and married male policyholders. The study focused on the number who made an insurance claim over a three-year period. The findings are summarized in the table below: | | Single Policyholders | Married Policyholders | |----------------|----------------------|-----------------------| | Sample Size | \( n_1 = 900 \) | \( n_2 = 400 \) | | Made Claims | 153 | 32 | ### Hypothesis Testing **Goal:** Determine if there is a significant difference in claim rates between single and married male policyholders using a significance level of \( \alpha = 0.05 \). #### Null and Alternative Hypotheses Let \( p_1 \) represent the claim rate for single male policyholders and \( p_2 \) for married male policyholders. The hypotheses are stated as follows: - Null Hypothesis \( (H_0): p_1 - p_2 = 0 \) - Alternative Hypothesis \( (H_a): p_1 - p_2 \neq 0 \) The chosen alternative hypothesis is highlighted with a check mark in the list provided. #### Statistical Testing 1. **Test Statistic:** The value of the test statistic needs to be entered and rounded to two decimal places. 2. **P-value:** The p-value is required to be rounded to four decimal places. 3. **Conclusion:** The correct conclusion is to reject \( H_0 \), indicating that there is a statistically significant difference in claim rates between single and married male policyholders. ### Confidence Interval **95% Confidence Interval:** Calculate the interval for the difference between the proportions for the two populations. The responses need to be rounded to four decimal places and provided for both lower and upper bounds. This study provides vital insight into the behavioral differences in insurance claims between different demographics, aiding in more personalized policy development.
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