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Compute the results from a hypothesis test of p1=p2 (with a 0.05 significance level) and a 95% confidence interval estimate of p1-p2 A study investigated survival rates for in- hospital patients who suffered cardiac arrests. Among 58593 patients who had cardiac arrest during the day, 11604 survived and were discharged. Among 28155patients who had attacks at night, 4138 survived and were discharged. We want to use 0.01 significance level to test the claim that survival rates are the same for the days and nights. .In a randomized controlled trial in Kenya, insecticide treated bed nets were tested as a way to reduce malaria.
Among the 343 infants using bed nets, 15 developed malaria. Among 294 infants not using bed nets, 27 developed malaria. (Based on data from sustainability of reductions in malaria transmission and infant mortality in western Kenya with use of insecticide treated bed nets. By Lindblade et al. Journal of the American medical Association.) We want to use a 0.02 significance level to test the claim that the incidence of malaria is lower 9n infants using bed nets. The results are statistically significant since they provide the information required for statistical estimation.
However, the results are not practical since it is not easy to estimate and improve the
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