Construct the indicated confidence interval for the population mean u using the t-distribution. Assume the population is normally distributed. c= 0.95, x= 13.1, s= 3.0, n 8 ..... (Round to one decimal place as needed.)

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**Constructing a Confidence Interval for the Population Mean**

To construct the indicated confidence interval for the population mean (\(\mu\)) using the t-distribution, we will assume the population is normally distributed. The given values are:

- Confidence level (\(c\)) = 0.95
- Sample mean (\(\bar{x}\)) = 13.1
- Sample standard deviation (\(s\)) = 3.0
- Sample size (\(n\)) = 8

**Instructions:**

Calculate the confidence interval using the formula for the t-distribution. The steps involved are:

1. Determine the degrees of freedom (\(df\)) as \(n - 1\).
2. Use the t-distribution table to find the t-score corresponding to the confidence level and the calculated degrees of freedom.
3. Calculate the margin of error as:
   \[
   \text{Margin of Error} = t \times \left(\frac{s}{\sqrt{n}}\right)
   \]
4. Determine the confidence interval using the formula:
   \[
   \text{Confidence Interval} = \bar{x} \pm \text{Margin of Error}
   \]
5. Round your final answer to one decimal place.

This process will help you estimate the range in which the true population mean is likely to fall with a specified level of confidence (95% in this case).
Transcribed Image Text:**Constructing a Confidence Interval for the Population Mean** To construct the indicated confidence interval for the population mean (\(\mu\)) using the t-distribution, we will assume the population is normally distributed. The given values are: - Confidence level (\(c\)) = 0.95 - Sample mean (\(\bar{x}\)) = 13.1 - Sample standard deviation (\(s\)) = 3.0 - Sample size (\(n\)) = 8 **Instructions:** Calculate the confidence interval using the formula for the t-distribution. The steps involved are: 1. Determine the degrees of freedom (\(df\)) as \(n - 1\). 2. Use the t-distribution table to find the t-score corresponding to the confidence level and the calculated degrees of freedom. 3. Calculate the margin of error as: \[ \text{Margin of Error} = t \times \left(\frac{s}{\sqrt{n}}\right) \] 4. Determine the confidence interval using the formula: \[ \text{Confidence Interval} = \bar{x} \pm \text{Margin of Error} \] 5. Round your final answer to one decimal place. This process will help you estimate the range in which the true population mean is likely to fall with a specified level of confidence (95% in this case).
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