9) Do a hypothesis for the following, make sure to include and label all five steps: Test the claim that the proportion of wins is the same whether the wear a shirt and tie or jeans and a t-shirt. Use a .05 signifficance level Win Loss 37 Suit and Tie 25 Jeans and T-shirt 27 22

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### Hypothesis Testing: Win Proportions and Attire

#### Problem Statement
9) Do a hypothesis for the following, make sure to include and label all five steps:

Test the claim that the proportion of wins is the same whether the subject wears a suit and tie or jeans and a t-shirt. **Use a 0.05 significance level.**

#### Data Summary

The provided data is summarized in the table below:

| Attire             | Wins | Losses |
|--------------------|------|--------|
| **Suit and Tie**   | 25   | 37     |
| **Jeans and T-shirt** | 27   | 22     |

#### Steps for Hypothesis Testing

1. **State the Hypotheses:**
   - Null Hypothesis (\(H_0\)): The proportion of wins is the same for both suits and ties, and jeans and t-shirts.
   - Alternative Hypothesis (\(H_a\)): The proportion of wins is different for suits and ties compared to jeans and t-shirts.

2. **Choose the Significance Level:**
   - Significance level (\(\alpha\)): 0.05

3. **Calculate the Test Statistic:**
   - Use appropriate statistical methods (e.g. z-test, chi-square test) based on binomial proportions provided in the table.

4. **Determine the Critical Value or P-value:**
   - Using z-tables or online calculators to determine the p-value corresponding to the test statistic.

5. **Make a Decision:**
   - Compare the p-value to the significance level (\(\alpha = 0.05\)):
     - If p-value ≤ 0.05, reject the null hypothesis (\(H_0\)).
     - If p-value > 0.05, fail to reject the null hypothesis (\(H_0\)).

#### Further Guidance
- Use statistical software or manual calculations to find the exact test statistic and p-value.
- Interpret the results in the context of the problem to understand if attire has a noticeable impact on win proportions.

### Educational Resources
For more detailed step-by-step procedures on hypothesis testing, please refer to our [Statistics Hub](#) and [Hypothesis Testing Tutorials](#).
Transcribed Image Text:### Hypothesis Testing: Win Proportions and Attire #### Problem Statement 9) Do a hypothesis for the following, make sure to include and label all five steps: Test the claim that the proportion of wins is the same whether the subject wears a suit and tie or jeans and a t-shirt. **Use a 0.05 significance level.** #### Data Summary The provided data is summarized in the table below: | Attire | Wins | Losses | |--------------------|------|--------| | **Suit and Tie** | 25 | 37 | | **Jeans and T-shirt** | 27 | 22 | #### Steps for Hypothesis Testing 1. **State the Hypotheses:** - Null Hypothesis (\(H_0\)): The proportion of wins is the same for both suits and ties, and jeans and t-shirts. - Alternative Hypothesis (\(H_a\)): The proportion of wins is different for suits and ties compared to jeans and t-shirts. 2. **Choose the Significance Level:** - Significance level (\(\alpha\)): 0.05 3. **Calculate the Test Statistic:** - Use appropriate statistical methods (e.g. z-test, chi-square test) based on binomial proportions provided in the table. 4. **Determine the Critical Value or P-value:** - Using z-tables or online calculators to determine the p-value corresponding to the test statistic. 5. **Make a Decision:** - Compare the p-value to the significance level (\(\alpha = 0.05\)): - If p-value ≤ 0.05, reject the null hypothesis (\(H_0\)). - If p-value > 0.05, fail to reject the null hypothesis (\(H_0\)). #### Further Guidance - Use statistical software or manual calculations to find the exact test statistic and p-value. - Interpret the results in the context of the problem to understand if attire has a noticeable impact on win proportions. ### Educational Resources For more detailed step-by-step procedures on hypothesis testing, please refer to our [Statistics Hub](#) and [Hypothesis Testing Tutorials](#).
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