3. Scarlett and Heather own an upscale restaurant in Dayton, Ohio, and want to study the spending habits of their customers. The results from a sample of 20 customers are as follows: Amount spent: xbar = $38.54, sample standard deviation = $7.26 Construct a 95% confidence interval estimate for the population mean amount spent per customer in the restaurant. Point Estimate Alpha Critical Value Standard Error Answers Margin of Error Confidence Interval Limits

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### Confidence Interval Estimation for Average Spending

**Problem Context:**
Scarlett and Heather own an upscale restaurant in Dayton, Ohio, and want to study the spending habits of their customers. The results from a sample of 20 customers are as follows:

- **Sample Mean (\(\bar{x}\))**: $38.54
- **Sample Standard Deviation**: $7.26

The task is to construct a 95% confidence interval estimate for the population mean amount spent per customer in the restaurant.

**Diagram Explanation:**

1. **Bell Curve:**
   - The image features a bell-shaped curve which typically represents a normal distribution. This is used to visualize how data (such as spending amounts) is distributed around the mean value.

2. **Table of Answers:**
   - This is a table with columns labeled "Answers," providing structured spaces to fill out key statistical elements:
     - **Point Estimate**: The sample mean, representing the central value of the estimate.
     - **Alpha (α)**: Represents the significance level. In a 95% confidence interval, \( \alpha = 0.05 \).
     - **Critical Value**: Typically derived from a standard normal or t-distribution table depending on the sample size and variance knowledge.
     - **Standard Error**: Calculated using the sample standard deviation divided by the square root of the sample size.
     - **Margin of Error**: Derived from multiplying the critical value and the standard error.
     - **Confidence Interval Limits**: The range within which the true population mean is expected to lie, calculated as the sample mean ± the margin of error.

These components together help in determining the confidence interval, providing an estimated range for the average amount customers spend at the restaurant.
Transcribed Image Text:### Confidence Interval Estimation for Average Spending **Problem Context:** Scarlett and Heather own an upscale restaurant in Dayton, Ohio, and want to study the spending habits of their customers. The results from a sample of 20 customers are as follows: - **Sample Mean (\(\bar{x}\))**: $38.54 - **Sample Standard Deviation**: $7.26 The task is to construct a 95% confidence interval estimate for the population mean amount spent per customer in the restaurant. **Diagram Explanation:** 1. **Bell Curve:** - The image features a bell-shaped curve which typically represents a normal distribution. This is used to visualize how data (such as spending amounts) is distributed around the mean value. 2. **Table of Answers:** - This is a table with columns labeled "Answers," providing structured spaces to fill out key statistical elements: - **Point Estimate**: The sample mean, representing the central value of the estimate. - **Alpha (α)**: Represents the significance level. In a 95% confidence interval, \( \alpha = 0.05 \). - **Critical Value**: Typically derived from a standard normal or t-distribution table depending on the sample size and variance knowledge. - **Standard Error**: Calculated using the sample standard deviation divided by the square root of the sample size. - **Margin of Error**: Derived from multiplying the critical value and the standard error. - **Confidence Interval Limits**: The range within which the true population mean is expected to lie, calculated as the sample mean ± the margin of error. These components together help in determining the confidence interval, providing an estimated range for the average amount customers spend at the restaurant.
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