3. A researcher suggests that male nurses earn more than female nurses. A survey of 16 male nurses and 14 female nurses reports the following data. Is there enough evidence to support the claim that male nurses earn more than female nurses? Use a = 0.05 and assume the population variances are equal. Please show all 4 steps of the classical approach clearly and interpret your conclusion. Male F₁ = $44.800 $1 = $300 71 = 16 Female 72 = $44.550 82 = $280 72₂ = 14

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### Hypothesis Testing: Do Male Nurses Earn More Than Female Nurses?

A researcher suggests that male nurses earn more than female nurses. A survey of 16 male nurses and 14 female nurses reports the following data. Is there enough evidence to support the claim that male nurses earn more than female nurses? Use \( \alpha = 0.05 \) and assume the population variances are equal. Please show all 4 steps of the **classical approach** clearly and interpret your conclusion.

#### Survey Data:
|                          | Male                            | Female                          |
|--------------------------|---------------------------------|---------------------------------|
| Sample Mean (\( \bar{x} \)) | $44,800                        | $44,550                        |
| Sample Standard Deviation (\( s \)) | $300                           | $280                           |
| Sample Size (\( n \))               | 16                              | 14                              |

### Steps for Hypothesis Testing

1. **State the Hypotheses:**
   - Null Hypothesis (\( H_0 \)): \( \mu_1 \leq \mu_2 \)
     - (The mean salary of male nurses is less than or equal to the mean salary of female nurses.)
   - Alternative Hypothesis (\( H_1 \)): \( \mu_1 > \mu_2 \)
     - (The mean salary of male nurses is greater than the mean salary of female nurses.)

2. **Set the Significance Level (\( \alpha \)):**
   - \( \alpha = 0.05 \)

3. **Compute the Test Statistic:**

   Since we assume equal population variances, we will use the t-test for the comparison of two means:
   \[
   t = \frac{\bar{x}_1 - \bar{x}_2}{\sqrt{s_p^2 \left( \frac{1}{n_1} + \frac{1}{n_2} \right)}}
   \]

   Where the pooled sample variance \( s_p^2 \) is defined as:
   \[
   s_p^2 = \frac{(n_1 - 1)s_1^2 + (n_2 - 1)s_2^2}{n_1 + n_2 - 2}
   \]

   Plugging in the given data:
   \[
   s_p^2 = \frac{(16-1)300^2
Transcribed Image Text:### Hypothesis Testing: Do Male Nurses Earn More Than Female Nurses? A researcher suggests that male nurses earn more than female nurses. A survey of 16 male nurses and 14 female nurses reports the following data. Is there enough evidence to support the claim that male nurses earn more than female nurses? Use \( \alpha = 0.05 \) and assume the population variances are equal. Please show all 4 steps of the **classical approach** clearly and interpret your conclusion. #### Survey Data: | | Male | Female | |--------------------------|---------------------------------|---------------------------------| | Sample Mean (\( \bar{x} \)) | $44,800 | $44,550 | | Sample Standard Deviation (\( s \)) | $300 | $280 | | Sample Size (\( n \)) | 16 | 14 | ### Steps for Hypothesis Testing 1. **State the Hypotheses:** - Null Hypothesis (\( H_0 \)): \( \mu_1 \leq \mu_2 \) - (The mean salary of male nurses is less than or equal to the mean salary of female nurses.) - Alternative Hypothesis (\( H_1 \)): \( \mu_1 > \mu_2 \) - (The mean salary of male nurses is greater than the mean salary of female nurses.) 2. **Set the Significance Level (\( \alpha \)):** - \( \alpha = 0.05 \) 3. **Compute the Test Statistic:** Since we assume equal population variances, we will use the t-test for the comparison of two means: \[ t = \frac{\bar{x}_1 - \bar{x}_2}{\sqrt{s_p^2 \left( \frac{1}{n_1} + \frac{1}{n_2} \right)}} \] Where the pooled sample variance \( s_p^2 \) is defined as: \[ s_p^2 = \frac{(n_1 - 1)s_1^2 + (n_2 - 1)s_2^2}{n_1 + n_2 - 2} \] Plugging in the given data: \[ s_p^2 = \frac{(16-1)300^2
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