To check pain-relieving medications for potential side effects on blood pressure, it is decided to give...
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To check pain-relieving medications for potential side effects on blood pressure, it is decided to give equal doses of each of four medications to test subjects. To control for the potential effect of weight, subjects are classified by weight groups. Subjects are approximately the same age and are in general good health. Two subjects in each category are chosen at random from a large group of male prison volunteers. Subjects' blood pressures 15 minutes after the dose are shown below. Research question: Is mean blood pressure affected by body weight and/or by medication type? Systolic Blood Pressure of Subjects (mmHg) Ratio of Subject's Weight to Normal Weight Medication Medication Medication Medication M1 M2 M3 M4 Under 1.1 132 147 142 129 133 134 130 126 1.1 to 1.3 137 140 134 128 142 143 148 148 135 1.3 to 1.5 143 150 141 151 158 151 139 (b) Fill in the missing data. (Round your table of means values to 1 decimal place, SS and Fvalues to 2 decimal places, MS values to 3 decimal places, and p-values to 4 decimal places.) Table of Means Factor 2 (Medication) Means: Factor 1 (Weight) 1.1 or Less Med 1 Med 2 Med 3 Med 4 Total 1.1 to 1.3 1.3 to 1.5 Total ANOVA TABLE Source SS df MS p-value Factor 1 (Weight) Factor 2 (Medication) Interaction Error Total (d) Perform Tukey multiple comparison tests. (Input the mean values within the input boxes of the first row and input boxes of the first column. Round your tvalues and critical values to 2 decimal places and other answers to 1 decimal place.) Post hoc analysis for Factor 1: Tukey simultaneous comparison t-values (d.f. = 12) 1.1 or Less 1.1 to 1.3 1.3 to 1.5 1.1 or Less 1.1 to 1.3 1.3 to 1.5 Critical values for experimentwise error rate: 0.05 0.01 Post hoc analysis for Factor 2: Tukey simultaneous comparison t-values (d.f. = 12) Med 4 Med 1 Med 3 Med 2 Med 4 Med 1 Med 3 Med 2 Critical values for experimentwise error rate: 0.05 0.01 To check pain-relieving medications for potential side effects on blood pressure, it is decided to give equal doses of each of four medications to test subjects. To control for the potential effect of weight, subjects are classified by weight groups. Subjects are approximately the same age and are in general good health. Two subjects in each category are chosen at random from a large group of male prison volunteers. Subjects' blood pressures 15 minutes after the dose are shown below. Research question: Is mean blood pressure affected by body weight and/or by medication type? Systolic Blood Pressure of Subjects (mmHg) Ratio of Subject's Weight to Normal Weight Medication Medication Medication Medication M1 M2 M3 M4 Under 1.1 132 147 142 129 133 134 130 126 1.1 to 1.3 137 140 134 128 142 143 148 148 135 1.3 to 1.5 143 150 141 151 158 151 139 (b) Fill in the missing data. (Round your table of means values to 1 decimal place, SS and Fvalues to 2 decimal places, MS values to 3 decimal places, and p-values to 4 decimal places.) Table of Means Factor 2 (Medication) Means: Factor 1 (Weight) 1.1 or Less Med 1 Med 2 Med 3 Med 4 Total 1.1 to 1.3 1.3 to 1.5 Total ANOVA TABLE Source SS df MS p-value Factor 1 (Weight) Factor 2 (Medication) Interaction Error Total (d) Perform Tukey multiple comparison tests. (Input the mean values within the input boxes of the first row and input boxes of the first column. Round your tvalues and critical values to 2 decimal places and other answers to 1 decimal place.) Post hoc analysis for Factor 1: Tukey simultaneous comparison t-values (d.f. = 12) 1.1 or Less 1.1 to 1.3 1.3 to 1.5 1.1 or Less 1.1 to 1.3 1.3 to 1.5 Critical values for experimentwise error rate: 0.05 0.01 Post hoc analysis for Factor 2: Tukey simultaneous comparison t-values (d.f. = 12) Med 4 Med 1 Med 3 Med 2 Med 4 Med 1 Med 3 Med 2 Critical values for experimentwise error rate: 0.05 0.01
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Related Book For
Applied Statistics in Business and Economics
ISBN: 978-0073521480
4th edition
Authors: David Doane, Lori Seward
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