The Rocky Mountain district sales manager of Rath Publishing Inc., a college textbook publishing company, claims that the sales representatives make an average of 40 sales calls per week on professors. Several reps say that this estimate is too low. To investigate, a random sample of 28 sales representatives reveals that the mean number of calls made last week was 42. The standard deviation of the sample is 2.1 calls. Using the 0.05 significance level, can we conclude that the mean number of calls per salesperson per week is more than 40? H₂ ≤40 H₂:p>40 1. Compute the value of the test statistic. (Round your answer to 3 decimal places.) Value of the test statistic 2. What is your decision regarding Ho? HO. The mean number of calls is than 40 per week.

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### Statistical Analysis of Sales Calls

The Rocky Mountain district sales manager of Rath Publishing Inc., a college textbook publishing company, claims that sales representatives make an average of 40 sales calls per week on professors. Some representatives believe this estimate is too low. To investigate, a random sample of 28 sales representatives reveals that the mean number of calls made last week was 42, with a standard deviation of 2.1 calls. Using a significance level of 0.05, can we conclude that the mean number of calls per salesperson per week is more than 40?

#### Hypotheses

- \( H_0: \mu \leq 40 \)
- \( H_1: \mu > 40 \)

#### Steps to the Analysis

1. **Compute the Value of the Test Statistic**: 
   - **Instructions**: Round your answer to three decimal places.
   - **Result Box**: 
     - Value of the test statistic: [ _ ]

2. **Decision Regarding \( H_0 \)**:
   - **Prompt**: State your decision.
   - **Result Box**: 
     - H0: The mean number of calls is [ _ ] than 40 per week.

#### Explanation of Concepts

- **Test Statistic**: A measure used in statistical hypothesis testing. It is calculated from the sample data and used to decide whether to reject the null hypothesis (\( H_0 \)) in favor of the alternative hypothesis (\( H_1 \)).
- **Significance Level (0.05)**: The probability of rejecting the null hypothesis when it is actually true. A significance level of 0.05 indicates a 5% risk of concluding that a difference exists when there is no actual difference.
- **Decision Rule**: If the test statistic falls into the rejection region (greater than the critical value), we reject the null hypothesis. Otherwise, we fail to reject the null hypothesis.

This procedure outlines a hypothesis test aimed at determining whether the mean number of sales calls exceeds the historical average of 40 calls per week. It utilizes a sample mean and known standard deviation to evaluate the claim statistically.
Transcribed Image Text:### Statistical Analysis of Sales Calls The Rocky Mountain district sales manager of Rath Publishing Inc., a college textbook publishing company, claims that sales representatives make an average of 40 sales calls per week on professors. Some representatives believe this estimate is too low. To investigate, a random sample of 28 sales representatives reveals that the mean number of calls made last week was 42, with a standard deviation of 2.1 calls. Using a significance level of 0.05, can we conclude that the mean number of calls per salesperson per week is more than 40? #### Hypotheses - \( H_0: \mu \leq 40 \) - \( H_1: \mu > 40 \) #### Steps to the Analysis 1. **Compute the Value of the Test Statistic**: - **Instructions**: Round your answer to three decimal places. - **Result Box**: - Value of the test statistic: [ _ ] 2. **Decision Regarding \( H_0 \)**: - **Prompt**: State your decision. - **Result Box**: - H0: The mean number of calls is [ _ ] than 40 per week. #### Explanation of Concepts - **Test Statistic**: A measure used in statistical hypothesis testing. It is calculated from the sample data and used to decide whether to reject the null hypothesis (\( H_0 \)) in favor of the alternative hypothesis (\( H_1 \)). - **Significance Level (0.05)**: The probability of rejecting the null hypothesis when it is actually true. A significance level of 0.05 indicates a 5% risk of concluding that a difference exists when there is no actual difference. - **Decision Rule**: If the test statistic falls into the rejection region (greater than the critical value), we reject the null hypothesis. Otherwise, we fail to reject the null hypothesis. This procedure outlines a hypothesis test aimed at determining whether the mean number of sales calls exceeds the historical average of 40 calls per week. It utilizes a sample mean and known standard deviation to evaluate the claim statistically.
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