Suppose the math department chair at a large state university wants to estimate the average overall rating, out of five points, that students taking Introductory Statistics gave their lecturers on their end-of-term evaluations. She selects a random sample of 36 evaluations and records the summary statistics shown. Sample Sample Sample standard Population standard Standard Confidence size mean deviation deviation deviation of x level 36 3.8711 1.0755 1.0222 0.1704 95% The department chair determines the standard deviation of the sampling distribution of x using o, the standard deviation calculated from all student evaluations submitted to her department. Assume the Statistics lecturers' ratings have the same standard deviation. Use this information to find the margin of error and the lower and upper limits of a 95% confidence interval for u, the mean overall rating students gave their Introductory Statistics lecturers. Round your answers to the nearest hundredth. Margin of error = Lower limit = Upper limit = Complete the following sentence to state the interpretation of the department chair's confidence interval.

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**Confidence Interval for Introductory Statistics Lectures Ratings**

To calculate the 95% confidence interval for \(\mu\), the mean overall rating students gave their Introductory Statistics lecturers, follow these steps. Ensure all answers are rounded to the nearest hundredth.

1. **Margin of Error**:
   - Margin of error = [Your Calculation Here]

2. **Confidence Interval Limits**:
   - Lower limit = [Your Calculation Here]
   - Upper limit = [Your Calculation Here]

3. **Interpretation**:
   - Complete the following sentence to interpret the department chair's confidence interval:
     - The [department chair is 95% confident] that the [mean] of the overall ratings given on [all student evaluations of Statistics lecturers] [is between the lower and upper limits] at the [end of the term].

**Answer Bank**:
- is between the lower and upper limits
- probability is 95%
- all student evaluations of Statistics lecturers
- the student evaluations in the sample
- standard deviation of x̄
- standard deviation
- confidence interval
- is 3.8711
- mean
- department chair is 95% confident

Use this information carefully to ensure you communicate accurate statistical analysis, supporting educational outcomes in understanding confidence intervals.
Transcribed Image Text:**Confidence Interval for Introductory Statistics Lectures Ratings** To calculate the 95% confidence interval for \(\mu\), the mean overall rating students gave their Introductory Statistics lecturers, follow these steps. Ensure all answers are rounded to the nearest hundredth. 1. **Margin of Error**: - Margin of error = [Your Calculation Here] 2. **Confidence Interval Limits**: - Lower limit = [Your Calculation Here] - Upper limit = [Your Calculation Here] 3. **Interpretation**: - Complete the following sentence to interpret the department chair's confidence interval: - The [department chair is 95% confident] that the [mean] of the overall ratings given on [all student evaluations of Statistics lecturers] [is between the lower and upper limits] at the [end of the term]. **Answer Bank**: - is between the lower and upper limits - probability is 95% - all student evaluations of Statistics lecturers - the student evaluations in the sample - standard deviation of x̄ - standard deviation - confidence interval - is 3.8711 - mean - department chair is 95% confident Use this information carefully to ensure you communicate accurate statistical analysis, supporting educational outcomes in understanding confidence intervals.
Suppose the math department chair at a large state university wants to estimate the average overall rating, out of five points, that students taking Introductory Statistics gave their lecturers on their end-of-term evaluations. She selects a random sample of 36 evaluations and records the summary statistics shown.

| Sample size \( n \) | Sample mean \( \bar{x} \) | Sample standard deviation \( s \) | Population standard deviation \( \sigma \) | Standard deviation of \( \bar{x} \) \( \sigma_{\bar{x}} \) | Confidence level \( C \) |
|---------------------|---------------------------|----------------------------------|------------------------------------------|------------------------------------------------|-----------------------|
| 36                  | 3.8711                    | 1.0755                           | 1.0222                                   | 0.1704                                        | 95%                   |

The department chair determines the standard deviation of the sampling distribution of \( \bar{x} \) using \( \sigma \), the standard deviation calculated from all student evaluations submitted to her department. Assume the Statistics lecturers' ratings have the same standard deviation.

Use this information to find the margin of error and the lower and upper limits of a 95% confidence interval for \( \mu \), the mean overall rating students gave their Introductory Statistics lecturers. Round your answers to the nearest hundredth.

Margin of error = [__________]

Lower limit = [__________] Upper limit = [__________]

Complete the following sentence to state the interpretation of the department chair's confidence interval.

[_____________________________________________________]
Transcribed Image Text:Suppose the math department chair at a large state university wants to estimate the average overall rating, out of five points, that students taking Introductory Statistics gave their lecturers on their end-of-term evaluations. She selects a random sample of 36 evaluations and records the summary statistics shown. | Sample size \( n \) | Sample mean \( \bar{x} \) | Sample standard deviation \( s \) | Population standard deviation \( \sigma \) | Standard deviation of \( \bar{x} \) \( \sigma_{\bar{x}} \) | Confidence level \( C \) | |---------------------|---------------------------|----------------------------------|------------------------------------------|------------------------------------------------|-----------------------| | 36 | 3.8711 | 1.0755 | 1.0222 | 0.1704 | 95% | The department chair determines the standard deviation of the sampling distribution of \( \bar{x} \) using \( \sigma \), the standard deviation calculated from all student evaluations submitted to her department. Assume the Statistics lecturers' ratings have the same standard deviation. Use this information to find the margin of error and the lower and upper limits of a 95% confidence interval for \( \mu \), the mean overall rating students gave their Introductory Statistics lecturers. Round your answers to the nearest hundredth. Margin of error = [__________] Lower limit = [__________] Upper limit = [__________] Complete the following sentence to state the interpretation of the department chair's confidence interval. [_____________________________________________________]
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