Construct the indicated confidence interval for the population mean u using the t-distribution. Assume the population is normally distributed. c= 0.98, x= 13.3, s=0.88, n= 12 ..... (Round to one decimal place as needed.)

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Chapter1: Combinatorial Analysis
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**Constructing Confidence Intervals Using the t-Distribution**

To calculate the confidence interval for the population mean \( \mu \) using the t-distribution, follow these steps. In this example, assume the population is normally distributed.

Given:
- Confidence level (\( c \)): 0.98
- Sample mean (\( \bar{x} \)): 13.3
- Sample standard deviation (\( s \)): 0.88
- Sample size (\( n \)): 12

**Steps:**

1. **Determine the degrees of freedom**: 
   \[
   \text{Degrees of Freedom} = n - 1 = 12 - 1 = 11
   \]

2. **Find the critical value (\( t^* \)):** 
   Use a t-distribution table or calculator to find the critical t-value corresponding to the confidence level of 0.98 and 11 degrees of freedom.

3. **Calculate the margin of error (\( E \))**:
   \[
   E = t^* \times \frac{s}{\sqrt{n}}
   \]

4. **Determine the confidence interval**:
   \[
   \text{Confidence Interval} = \left( \bar{x} - E, \bar{x} + E \right)
   \]
   (Round to one decimal place as needed.)

**Further Exploration:**

- **Help Me Solve This**: This option guides you through each calculation step-by-step.
- **View an Example**: Provides a similar problem with a detailed solution.
- **Get More Help**: Links to additional resources for understanding confidence intervals.

**Interactive Checkbox**: Provides an option to toggle between hiding and displaying the calculated confidence interval.

(Note: There are no graphs or diagrams in this content. The emphasis is on understanding and computing the confidence interval using statistical formulas.)
Transcribed Image Text:**Constructing Confidence Intervals Using the t-Distribution** To calculate the confidence interval for the population mean \( \mu \) using the t-distribution, follow these steps. In this example, assume the population is normally distributed. Given: - Confidence level (\( c \)): 0.98 - Sample mean (\( \bar{x} \)): 13.3 - Sample standard deviation (\( s \)): 0.88 - Sample size (\( n \)): 12 **Steps:** 1. **Determine the degrees of freedom**: \[ \text{Degrees of Freedom} = n - 1 = 12 - 1 = 11 \] 2. **Find the critical value (\( t^* \)):** Use a t-distribution table or calculator to find the critical t-value corresponding to the confidence level of 0.98 and 11 degrees of freedom. 3. **Calculate the margin of error (\( E \))**: \[ E = t^* \times \frac{s}{\sqrt{n}} \] 4. **Determine the confidence interval**: \[ \text{Confidence Interval} = \left( \bar{x} - E, \bar{x} + E \right) \] (Round to one decimal place as needed.) **Further Exploration:** - **Help Me Solve This**: This option guides you through each calculation step-by-step. - **View an Example**: Provides a similar problem with a detailed solution. - **Get More Help**: Links to additional resources for understanding confidence intervals. **Interactive Checkbox**: Provides an option to toggle between hiding and displaying the calculated confidence interval. (Note: There are no graphs or diagrams in this content. The emphasis is on understanding and computing the confidence interval using statistical formulas.)
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