Questions: Determine the critical values for the confidence interval for the population standard deviation from the given values. Round your answers to three decimal places. n=7 and c=0.98

Determine the critical values for the confidence interval for the population standard deviation from the given values. Round your answers to three decimal places.
n=7 and c=0.98
Transcript text: Determine the critical values for the confidence interval for the population standard deviation from the given values. Round your answers to three decimal places. \[ \mathrm{n}=7 \text { and } \mathrm{c}=0.98 \]
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Solution

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Solution Steps

Step 1: Calculate the Confidence Interval for Variance

To determine the confidence interval for the variance of a single population with an unknown population mean, we use the formula:

\[ \left(\frac{(n - 1)s^2}{\chi^2_{\alpha/2}}, \frac{(n - 1)s^2}{\chi^2_{1 - \alpha/2}}\right) \]

Given:

  • Sample size \( n = 7 \)
  • Sample variance \( s^2 = 1 \)
  • Significance level \( \alpha = 0.02 \)

Substituting the values, we have:

\[ CI = \left(\frac{(7 - 1) \times 1}{\chi^2_{0.01}}, \frac{(7 - 1) \times 1}{\chi^2_{0.99}}\right) \]

Calculating the confidence interval yields:

\[ CI = (0.357, 6.88) \]

Step 2: Calculate the Confidence Interval for Standard Deviation

To find the confidence interval for the standard deviation, we take the square root of the variance interval:

\[ CI_{SD} = \left(\sqrt{0.357}, \sqrt{6.88}\right) \]

Calculating the square roots gives:

\[ CI_{SD} \approx (0.5975, 2.6230) \]

Final Answer

The confidence interval for the variance is \( (0.357, 6.88) \) and the confidence interval for the standard deviation is \( (0.5975, 2.6230) \).

Thus, the final boxed answers are:

\[ \boxed{(0.357, 6.88)} \] \[ \boxed{(0.5975, 2.6230)} \]

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