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Subject Blood Pressure 1 123 2 132 3 118 4 134 5 127 6 103 7 119 8 130 9 141 10 95 11 109
Subject Blood Pressure 1 123 2 132 3 118 4 134 5 127 6 103 7 119 8 130 9 141 10 95 11 109 12 125 13 110 14 116 15 117 16 106 17 115 18 138 19 139 20 113 21 114 22 123 23 110 24 157 25 132 26 115 27 123 28 111 29 123 30 124 31 136 32 134 33 118 34 115 35 114 36 109 37 141 38 121 39 123 40 117 41 93 42 113 43 119 44 113 Bins 80 90 100 110 120 130 140 150 160 170 180 190 200 45 46 47 48 49 50 122 138 138 124 108 123 Chapter 8 Activity During one of the very important meetings you've now been invited to, a suggestion arose that the people infected with the virus were those who tended to have a systolic blood pressure that was not in the normal range. You decide to investigate this idea. Mission: The dataset you obtain contains systolic blood pressure measurements for 50 infected individuals. Before you can conduct a formal hypothesis test, however, you decide it is important to check for outliers in the data. You also go ahead and check for some common assumptions. I. Check for outliers. 1. Construct a boxplot using the methods from Chapter 5. Report the lower and upper limits you calculate that were used to determine outliers. (Round your values to one decimal place.) Lower Limit: Upper Limit: 2. List the subject(s) that have corresponding data values indicated as outliers, if any. 3. Would it be reasonable to delete these data values? Why or why not? II. Assumptions -Normality 4. Create a histogram using the methods from Chapter 5 using the given Bin values. What shape do the data resemble? 5. Now, look at the given normal probability plot. Do the data appear to follow a normal distribution? How can you tell? 6. Now, use the descriptive statistics option in the data analysis toolpak to identify the skewness and kurtosis for the blood pressure data. (Round your values to two decimal places.) Skewness: Kurtosis: 7. What do the results for skewness and kurtosis indicate about the normality of the data? How do you know? -Variable levels. 8. What are the acceptable levels of measurement for variables in most statistical tests? -Independence 9. Does the blood pressure variable satisfy the independence assumption? Why or why not
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