A researcher studied iron-deficiency anemia in women in each of two developing countries. Differences in the dietary habits between the two countries led theresearcher to believe that anemia is less prevalent among women in the first country than among women in the second country. A random sample of 2500women from the first country yielded 418 women with anemia, and an independently chosen, random sample of 1700 women from the second country yielded306 women with anemia.Based on the study can we conclude, at the 0.05 level of significance, that the proportion p, of women with anemia in the first country is less than theproportion p, of women with anemia in the second country?Perform a one-tailed test. Then complete the parts below.Carry your intermediate computations to three or more decimal places and round your answers as specified in the parts below. (If necessary, consult a list offormulas.) (a) State the null hypothesis H, and the alternative hypothesis H.合H :0台(b) Determine the type of test statistic to use.(Choose one) ▼D=D0OSO(c) Find the value of the test statistic. (Round to three or more decimal places.)OO(d) Find the p-value. (Round to three or more decimal places.)(e) Can we conclude that the proportion of women with anemia in the firstcountry is less than the proportion of women with anemia in the secondcountry?OYesNo

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Answered: A researcher studied iron-deficiency…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The Joint Commission on Accreditation of Healthcare Organizations mandated that hospitals ban smoking by 1994. To study the effects of this ban on smoking behaviors, subjects were randomly selected from two different populations: those from hospitals with the ban and those from hospitals without the ban. Investigators were interested in determining if this smoking ban had any impact on the proportion of smokers employed at each hospital that then quit smoking. Among 843 smoking employees of hospitals with the smoking ban, 56 quit smoking during the study period. Among 703 smoking employees from workplaces without the smoking ban, 27 quit smoking during the study period. Below is the Stata output that was run to determine if there was a statistically significant difference between these two proportions at the α=0.05 level. A. What is the estimate of the proportion of smokers from the hospitals that implemented the ban that quit smoking (the blank labeled "C" in the above output)?…
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