Question

In: Statistics and Probability

Race Weight Systolic BP 1. Construct confidence intervals for the following situations. You will be prompted...

Race Weight Systolic BP 1. Construct confidence intervals for the following situations. You will be prompted to indicate the: critical values, margin of error, confidence limits, and an interpretation.    (18 points)
Hispanic 117 137
Caucasian 107 127 a. Determine the proportion (percentage) of Asians for your point estimate. Then construct a 90% confidence interval for the true proportion of all Asian patients.
Caucasian 101 119
Hispanic 123 143 Sample Proportion
Hispanic 121 141 Critical Value
Caucasian 157 174 Margin of Error
Hispanic 168 188 Lower Limit
Asian 160 180 Upper Limit
African American 156 176 Interpretation
Caucasian 149 175
Caucasian 140 160
Asian 113 133 b. Determine the average weight of all 100 patients for your point estimate. Then construct a 95% confidence interval for the true mean weight of all patients.
Caucasian 133 153
Caucasian 126 152 Sample Mean
Hispanic 151 171 Standard Deviation
Caucasian 148 168 Critical Value
Asian 163 183 Margin of Error
Asian 128 140 Lower Limit
Caucasian 125 145 Upper Limit
Hispanic 162 182 Interpretation
Caucasian 133 153
African American 133 150

Solutions

Expert Solution

a)

x=   4   COUNTIF(A3:A24,"Asian")
n=   22   COUNTA(A3:A24)

Sample Proportion x/n = =4/22 0.181818
Critical Value z(a/2) =NORMSINV(1-0.1/2) 1.644854
Margin of Error z(a/2)*sqrt(p*(1-p)/n) = =1.645*SQRT(0.1818*(1-0.1818)/22) = 0.135264
Lower Limit p - z(a/2)*sqrt(p*(1-p)/n) =0.1818-1.645*SQRT(0.1818*(1-0.1818)/22) = 0.046536
Upper Limit p + z(a/2)*sqrt(p*(1-p)/n) =0.1818+1.645*SQRT(0.1818*(1-0.1818)/22) = 0.317064
Interpretation I am 90% confident that estimated proportion of all Asian patients lie in the interval (0.046, 0.317)

b)

Sample Mean 137 AVERAGE(B3:B24)
Standard Deviation 19.56674 STDEV(B3:B24)
Critical Value 1.959964 NORMSINV(1-0.05/2) = z(A/2)
Margin of Error 7.758547 1.96*18.56674/SQRT(22) = z(A/2)*sd/sqrt(n)
Lower Limit 129.2415 137-7.758547 = mean-ME
Upper Limit 144.7585 137+7.758547 = mean + ME
Interpretation I am 95% confident that estimated true mean weight of all patients lie in the interval (129.2415, 144.7585)

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