Assume that the differences for the given data are normally distributed. Complete parts (a) through (d). Click here to view the sample data. Click here to view the table of critical \( t \)-values. (a) Determine \( d_{i}=X_{i}-Y_{i} \) for each pair of data. \begin{tabular}{|l|c|c|c|c|c|c|c|} \hline Observation & 1 & 2 & 3 & 4 & 5 & 6 & 7 \\ \hline\( d_{i} \) & -0.4 & 0.9 & -3.3 & -3.6 & 0.4 & -2.3 & -2.8 \\ \hline \end{tabular} (Type integers or decimals. Do not round.) (b) Compute \( \bar{d} \) and \( s_{d} \). \( \overline{\mathrm{d}}=\square \) (Round to three decimal places as needed.) Sample Data \begin{tabular}{|lccccccc|} \hline Observation & 1 & 2 & 3 & 4 & 5 & 6 & 7 \\ \hline \( \mathbf{X}_{\mathbf{i}} \) & 7.7 & 7.4 & 7.4 & 5.8 & 8.3 & 6.6 & 5.7 \\ \hline \( \mathbf{Y}_{\mathbf{i}} \) & 8.1 & 6.5 & 10.7 & 9.4 & 7.9 & 8.9 & 8.5 \\ \hline \end{tabular} Print Done an example Get more help - Clear all Check ansv
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- The differences \( d_{i} \) are already provided in the question for each observation. Therefore, we don't need to recalculate them. The values are as follows: - Observation 1: \( d_{1} = -0.4 \) - Observation 2: \( d_{2} = 0.9 \) - Observation 3: \( d_{3} Show more…
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