Questions: SAT Scores Estimate the variance in mean mathematics SAT scores by state, using the randomly selected scores listed below. Estimate with 99% confidence. Assume the variable is normally distributed. Round the sample variance and final answers to one decimal place. 490 209 543 515 499 500 572 565 550 469 211 Send data to Excel <σ²<

SAT Scores Estimate the variance in mean mathematics SAT scores by state, using the randomly selected scores listed below. Estimate with 99% confidence. Assume the variable is normally distributed. Round the sample variance and final answers to one decimal place.

490 209 543 515 499 500 572 565 550 469 211

Send data to Excel

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Transcript text: SAT Scores Estimate the variance in mean mathematics SAT scores by state, using the randomly selected scores listed below. Estimate with $99 \%$ confidence. Assume the variable is normally distributed. Round the sample variance and final answers to one decimal place. \begin{tabular}{llllll} 490 & 209 & 543 & 515 & 499 & 500 \\ 572 & 565 & 550 & 469 & 211 & \end{tabular} Send data to Excel \[ \square<\sigma^{2}<\square \]
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Solution

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Solution Steps

Step 1: Calculate the Mean

The mean \( \mu \) of the mathematics SAT scores is calculated as follows:

\[ \mu = \frac{\sum x_i}{n} = \frac{5123}{11} \approx 465.7 \]

Step 2: Calculate the Sample Variance

The sample variance \( \sigma^2 \) is computed using the formula:

\[ \sigma^2 = \frac{\sum (x_i - \mu)^2}{n-1} = 17032.6 \]

Step 3: Calculate the Standard Deviation

The standard deviation \( \sigma \) is the square root of the variance:

\[ \sigma = \sqrt{17032.6} \approx 130.5 \]

Step 4: Calculate the Confidence Interval for Variance

The confidence interval for the variance of a single population with unknown population mean is given by:

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

Substituting the values:

\[ CI = \left(\frac{(11 - 1) \times 17032.6}{\chi^2_{0.005}}, \frac{(11 - 1) \times 17032.6}{\chi^2_{0.995}}\right) \]

This results in:

\[ CI \approx (6762.1, 79006.2) \]

Final Answer

The sample variance is \( \sigma^2 \approx 17032.6 \) and the 99% confidence interval for the variance is

\[ \boxed{(6762.1, 79006.2)} \]

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