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Here Is an Excel ANOVA Table for an Experiment That

question 82

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Here is an Excel ANOVA table for an experiment that analyzed two factors that may affect patients' blood pressure (some information is missing) .  Source of Variation SSdfMSF P-value  Medication type 16.5313116.53139.1730.006 Patient age group 25.09388.36464.6420.011 Interaction 1.843830.61460.3410.796 Error 43.2504241.8021 Total 86.7192\begin{array} { | l | c | c | c | c | c | } \hline \text { Source of Variation } & S S & d f & M S & F & \text { P-value } \\\hline \text { Medication type } & 16.5313 & 1 & 16.5313 & 9.173 & 0.006 \\\hline \text { Patient age group } & 25.0938 & & 8.3646 & 4.642 & 0.011 \\\hline \text { Interaction } & 1.8438 & 3 & 0.6146 & 0.341 & 0.796 \\\hline \text { Error } & 43.2504 & 24 & 1.8021 & & \\\hline & & & & & \\\hline \text { Total } & 86.7192 & & & & \\\hline\end{array} The overall sample size is:

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Definitions:

Materials Price Variance

The difference between the actual amount paid for materials and the expected (or standard) cost of those materials, multiplied by the quantity of materials purchased.

Direct Material Standards

Standard costs set for the quantity and price of materials required for a manufacturing process.

Purchases Variance

A measurement of the difference between the actual cost of materials and the expected, or standard, cost.

Variable Overhead Efficiency Variance

The difference between the actual variable overhead costs incurred and the standard costs for the actual production volume.

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