d) Create a 99% Confidence interval for the mean. Provide a sketch of the critical value and calculate the standard error. Only for this part use o = 23.8

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Use the following data set: 40, 33, 77, 12, 23, 56, 23, 19, 29 (minutes). Assume the data is approximately bell shaped and a sample.

**d) Create a 99% Confidence Interval for the Mean**

To create a 99% confidence interval for the mean, you'll need to use the following elements:

1. **Critical Value**: The critical value for a 99% confidence interval can be found using a standard normal distribution (Z-distribution). The Z-value for a 99% confidence interval is approximately 2.576.

2. **Standard Error (SE)**: Calculate the standard error using the formula:
   \[
   SE = \frac{\sigma}{\sqrt{n}}
   \]
   where \(\sigma = 23.8\) and \(n\) is the sample size.

3. **Confidence Interval Formula**: The formula for the confidence interval is:
   \[
   \bar{x} \pm (Z \times SE)
   \]
   where \(\bar{x}\) is the sample mean.

**Sketch Explanation**

The sketch should include a normal distribution curve with the mean (\(\bar{x}\)) at the center. On the horizontal axis, mark points corresponding to \(\bar{x} - (2.576 \times SE)\) for the lower bound and \(\bar{x} + (2.576 \times SE)\) for the upper bound of the confidence interval. The area under the curve between these two points represents the 99% confidence interval.
Transcribed Image Text:**d) Create a 99% Confidence Interval for the Mean** To create a 99% confidence interval for the mean, you'll need to use the following elements: 1. **Critical Value**: The critical value for a 99% confidence interval can be found using a standard normal distribution (Z-distribution). The Z-value for a 99% confidence interval is approximately 2.576. 2. **Standard Error (SE)**: Calculate the standard error using the formula: \[ SE = \frac{\sigma}{\sqrt{n}} \] where \(\sigma = 23.8\) and \(n\) is the sample size. 3. **Confidence Interval Formula**: The formula for the confidence interval is: \[ \bar{x} \pm (Z \times SE) \] where \(\bar{x}\) is the sample mean. **Sketch Explanation** The sketch should include a normal distribution curve with the mean (\(\bar{x}\)) at the center. On the horizontal axis, mark points corresponding to \(\bar{x} - (2.576 \times SE)\) for the lower bound and \(\bar{x} + (2.576 \times SE)\) for the upper bound of the confidence interval. The area under the curve between these two points represents the 99% confidence interval.
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