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Hw - Speech or Presentation Example

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Marathon Finishers. In a recent New York marathon, 25,221 men finished and 253 dropped out. Also 12,883 women finished and 163 dropped out (bases on data from the New York Times). We want to use a 0.01 significance level to test the claim that the rate of those who finish is…
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Download file to see previous pages 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 ...Download file to see next pagesRead More
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2. Report a 95% confidence interval for this difference. The 95% CI for this difference ranges from -2.98 to -1.22 3. Write a sentence interpreting both the unadjusted mean difference and the corresponding confidence interval. When not considering other variables, women in 1985 earned approximately 2.1 dollars less than the men did; and 95% of the times, the actual values for this estimate would fall between 2.98 dollars to 1.22 dollars less then what the men earned on an average.
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