3. large-scale currently h medi study was conducted to estimate the difference in the proportion of male and female adu...
3. large-scale currently h medi study was conducted to estimate the difference in the proportion of male and female adults who ave medical coverage. A sample of 1,200 randomly selected adult males found that 852 currently had cal coverage. An independent sample of 1,400 randomly selected adult females found that 938 currently had coverage. If we let pı represent the proportion of all adult males who currently have medical coverage p> the proportion of all adult females who currently have medical coverage, construct a 98% confidence interval estimate of the difference in the proportion of males and females who currently have medical coverage Il of the information you need to answer this question appears in the partial Excel output below! Make sure that your confidence interval is in the correct final format, as discussed in class! Interpret the practical meaning of your resulting confidence interval estimate, in plain English. (15 points) Hypothesis test for two independent proportions p1p2 0.67 0.6885 p (as decimal) 0.71 852/1200 938/1400 1790/2600 p (as fraction) 1790. X 938 852 2600 n 1400 1200 0.04 difference 0. hypothesized difference 0.0182 std. error 2.20 z 0281 p-value (two-tailed) confidence interval 98% lower confidence interval 98% upper margin of error 0.0422
3. large-scale currently h medi study was conducted to estimate the difference in the proportion of male and female adults who ave medical coverage. A sample of 1,200 randomly selected adult males found that 852 currently had cal coverage. An independent sample of 1,400 randomly selected adult females found that 938 currently had coverage. If we let pı represent the proportion of all adult males who currently have medical coverage p> the proportion of all adult females who currently have medical coverage, construct a 98% confidence interval estimate of the difference in the proportion of males and females who currently have medical coverage Il of the information you need to answer this question appears in the partial Excel output below! Make sure that your confidence interval is in the correct final format, as discussed in class! Interpret the practical meaning of your resulting confidence interval estimate, in plain English. (15 points) Hypothesis test for two independent proportions p1p2 0.67 0.6885 p (as decimal) 0.71 852/1200 938/1400 1790/2600 p (as fraction) 1790. X 938 852 2600 n 1400 1200 0.04 difference 0. hypothesized difference 0.0182 std. error 2.20 z 0281 p-value (two-tailed) confidence interval 98% lower confidence interval 98% upper margin of error 0.0422