1. Consider the following data collected regarding infant blood pressure, age, and birth weight: Age in days (x2) 135 3 120 4 100 3 105 2 77 130 4 92 125 5 98 7 125 2 82 m 8 105 3 85 120 5 96 90 4 95 120 2 80 95 3 79 120 3 86 150 4 160 3 125 3 i 1 2 3 4 5 6 9 10 11 12 13 14 15 16 Birth weight in oz. (x1) Systolic Blood Pressure mmHg (y) 89 90 83 97 92 88 a. Fit a model to predict SBP from birth weight and Age. Present the equation the least-squares regression line. b. Interpret the beta coefficients for Birth weight and Age. c. Are Birth weight and/or Age significantly associated with SBP at the alpha = 0.05 level?
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- determine if the frequency of deficiencies of variable (significant medications) are statistically significantly different between for-profit and non-profit nursing homes, interpret the results for the chi-square?The mean output of solar cells of three types is measured six times under random light intensity over a period of 5 minutes, yielding the results shown. Research question: Is the mean solar cell output the same for all cell types?The U.S. Census Bureau computes quarterly vacancy and homeownership rates by state and metropolitan statistical area. Each metropolitan statistical area has at least one urbanized area of 50,000 or more inhabitants. The data in Sheet 10 are the rental vacancy rates (%) for metropolitan statistical area in four geographic regions of the U.S. for the first quarter of 2008. Use alpha = 0.05 to test whether the mean vacancy rate is the same for each geographic region. Sheet 10 Midwest Northeast South West 16,2 2,7 16,6 7,9 10,1 11,5 8,5 6,6 8,6 6,6 12,1 6,9 12,3 7,9 9,8 5,6 10 5,3 9,3 4,3 16,9 10,7 9,1 15,2 16,9 8,6 5,6 5,7 5,4 5,5 9,4 4 18,1 12,7 11,6 12,3 11,9 8,3 15,6 3,6 11 6,7 18,3 11 9,6 14,2 13,4 12,1 7,6 1,7 6,5 8,7 12,9 3,6 11,4 5 12,2 11,5 13,1 4,7 13,6 16,3 4,4 3,3 8,2 3,4 24 5,5 12,2 22,6 12 14,5 12,6 9,5 10,1 Select one: a) Sum of Squares Between Groups = 376.87 >…
- Suppose that you wish to estimate the difference between mean pH measurements of rainfalls in two different locations, one in relatively unpolluted area and the other in an area subject to heavy air pollution. You want to be 95% confident that the margin of error for the difference between mean pH of rainfalls in relatively unpolluted area and mean pH of rainfalls in an area subject to heavy air pollution will not exceed 0.1 pH. How many rainfalls (pH measurements) must be included in each sample? Assume that the variance of pH measurements in a relatively unpolluted area is equal to 2 = 20, and the variance of pH measurements in an area subject to heavy pollution is equal to 2 = 0.25, and samples will be of equal size (n = n₂ = n). 2 It is supposed that values of pH in rainfalls are normally distributed in polluted and unpolluted areas. The number of rainfalls (pH measurements) that must be included in each sample isA study sought to demonstrate that soy beans inoculated with nitrogen-fixing bacteria yield more. This assumption was based on the fact that plants need nitrogen to manufacture vital proteins and amino acids and that nitrogen-fixing bacteria would make more of this substance available to plants, increasing their size and yield. The plant yield as measured by pod weight for each plant is given in the table. Determine if the mean pod weight exceeds the mean of uninoculated plants, 1.084 g. Alpha = 0.10 1.76 1.45 1.03 1.53 2.34 1.96 1.79 1.21determine if the frequency of deficiencies of variable (medication errors) are statistically significantly different between for-profit and non-profit nursing homes, interpret the results for the chi-square?
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- You are shown ZJKL below whose measure is 90°. Draw an angle bisector of ZJKL by clicking a dragging a ray out from the vertex at K. Click and drag to draw a ray from the yellow dot. To redraw, click and drag from the yellow dot again. mZJKL = 90° mZJKM = 45° m/LKM = 45° L CComplete the following table to compare men and women using data collected at the first examination for each participant (n = 4434). Summarize your results in three to four sentences. Patient Characteristic* Men (n = 1944) Women (n = 2490) Age, years 49.89(8.7) 50.0(8.6) Systolic blood pressure, mmHg 132.9(0.43) 132.9(0.43) Hypertension 1404(72.2) 1848(74.2) Use of anti-hypertensive medication 42(2.16) 102(4.10) Current smoker 1175(60.44) 1006(40.40) Total serum cholesterol, mg/dL 233.5(4235.60) 239.6(4621.97) Serum Glucose Stoke 193(0.09) 222(0) * Mean (Standard deviation) or n (%)