0) Construct a 98% confidence interval for the population mean, u. Assume the population has a normal distribution. A study of 14 car owners showed that their average repair bill was $192 with a standard deviation of $8. Round to the nearest cent.

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**Task 10: Confidence Interval Calculation**

Construct a 98% confidence interval for the population mean, \( \mu \). Assume the population has a normal distribution. A study of 14 car owners showed that their average repair bill was $192 with a standard deviation of $8. Round to the nearest cent.

**Explanation for Students:**

- **Population Mean (\( \mu \))**: The true average of all possible repair bills in the population.
- **Sample Size**: 14 car owners.
- **Sample Mean**: $192.
- **Standard Deviation**: $8.
- **Confidence Level**: 98%, which indicates how confident we are that the interval contains the population mean.

**Instructions:**

1. **Identify the Z-Score:** For a 98% confidence level, refer to a Z-table to find the Z-score that corresponds to the upper and lower 1% of the probability distribution.

2. **Calculate the Margin of Error (ME):**
   \[
   ME = Z \times \left(\frac{\text{Standard Deviation}}{\sqrt{\text{Sample Size}}}\right)
   \]

3. **Compute the Confidence Interval:**
   \[
   \text{Confidence Interval} = \text{Sample Mean} \pm ME
   \]

Use the above steps to find the 98% confidence interval for the average repair bill of car owners in the population.
Transcribed Image Text:**Task 10: Confidence Interval Calculation** Construct a 98% confidence interval for the population mean, \( \mu \). Assume the population has a normal distribution. A study of 14 car owners showed that their average repair bill was $192 with a standard deviation of $8. Round to the nearest cent. **Explanation for Students:** - **Population Mean (\( \mu \))**: The true average of all possible repair bills in the population. - **Sample Size**: 14 car owners. - **Sample Mean**: $192. - **Standard Deviation**: $8. - **Confidence Level**: 98%, which indicates how confident we are that the interval contains the population mean. **Instructions:** 1. **Identify the Z-Score:** For a 98% confidence level, refer to a Z-table to find the Z-score that corresponds to the upper and lower 1% of the probability distribution. 2. **Calculate the Margin of Error (ME):** \[ ME = Z \times \left(\frac{\text{Standard Deviation}}{\sqrt{\text{Sample Size}}}\right) \] 3. **Compute the Confidence Interval:** \[ \text{Confidence Interval} = \text{Sample Mean} \pm ME \] Use the above steps to find the 98% confidence interval for the average repair bill of car owners in the population.
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