Math  /  Data & Statistics

QuestionUse a tt-distribution to find a confidence interval for the difference in means μd=μ1μ2\mu_{d}=\mu_{1}-\mu_{2} using the relevant sample results from paired data. Assume the results come from random samples from populations that are approximately normally distributed, and that differences are computed using d=x1x2d=x_{1}-x_{2}.
A 95\% confidence interval for μd\mu_{d} using the paired data in the following table: \begin{tabular}{l|ll} \hline Case & \begin{tabular}{l} Situation \\ 1 \end{tabular} & \begin{tabular}{l} Situation \\ 2 \end{tabular} \\ \hline 1 & 78 & 86 \\ 2 & 80 & 85 \\ 3 & 95 & 90 \\ 4 & 62 & 78 \\ 5 & 71 & 78 \\ 6 & 72 & 62 \\ 7 & 84 & 88 \\ 8 & 91 & 92 \\ \hline \end{tabular}
Give the best estimate for μd\mu_{d}, the margin of error, and the confidence interval. Enter the exact answer for the best estimate, and round your answers for the margin of error and the confidence interval to two decimal places. best estimate == \square 3.5-3.5 margin of error = \square \square 6.71-6.71
The 95%95 \% confidence interval is to i 3.21 \square

Studdy Solution
Compute the confidence interval:
Lower bound = \bar{d} - \text{Margin of Error} = -3.25 - 6.71 = -9.96 Upper bound = \bar{d} + \text{Margin of Error} = -3.25 + 6.71 = 3.46
Rounded to two decimal places: 95% Confidence Interval: (-9.96, 3.46)
The results are: Best estimate for μd = -3.25 Margin of error = 6.71 95% Confidence Interval: (-9.96, 3.46)

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