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d) How long is the 94% classical confidence interval for Pm? e) In terms of Pm = p and nm = n, give the formula for the standard deviation of the distribution of the sample proportion pmhat. (R code) O sqrt(n*p*(1-p)) On"p*(1-p) O sqrt(p" (1-p)/n) O p*(1-p)/n f) Calculate an unbiased point estimate of pf

d) How long is the 94% classical confidence interval for Pm? e) In terms of Pm = p and nm = n, give the formula for the standard deviation of the distribution of the sample proportion pmhat. (R code) O sqrt(n*p*(1-p)) On"p*(1-p) O sqrt(p" (1-p)/n) O p*(1-p)/n f) Calculate an unbiased point estimate of pf

MATLAB: An Introduction with Applications
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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Do the percentage of positive Covid cases resulting in serious symptoms differ between sexes? nm = 700 random males who had just tested positive for Covid were selected. Of these, xm = 226 wound up having serious symptoms. nf =600 random females who had just tested positive for Covid were selected. Of these, xf = 150 wound up having serious symptoms. Suppose Pm is the true proportion of males testing positive for Covid who wind up having serious symptoms. Suppose pf is the true proportion females testing positive for Covid who wind up having serious symptoms. Pm and pf are unknown and we will examine relations between them based upon these samples. Let pmhat be the sample proportion of selected males who wind up having serious symptoms. Let pfhat be the sample proportion of selected females who wind up having serious symptoms.
Transcribed Image Text:Do the percentage of positive Covid cases resulting in serious symptoms differ between sexes? nm = 700 random males who had just tested positive for Covid were selected. Of these, xm = 226 wound up having serious symptoms. nf =600 random females who had just tested positive for Covid were selected. Of these, xf = 150 wound up having serious symptoms. Suppose Pm is the true proportion of males testing positive for Covid who wind up having serious symptoms. Suppose pf is the true proportion females testing positive for Covid who wind up having serious symptoms. Pm and pf are unknown and we will examine relations between them based upon these samples. Let pmhat be the sample proportion of selected males who wind up having serious symptoms. Let pfhat be the sample proportion of selected females who wind up having serious symptoms.
d) How long is the 94% classical confidence interval for Pm? e) In terms of Pm = p and nm = n, give the formula for the standard deviation of the distribution of the sample proportion pmhat.(R code) O sqrt(n*p*(1-p)) O n*p* (1-P) O sqrt(p*(1-p)/n) O p*(1-p)/n f) Calculate an unbiased point estimate of Pf
Transcribed Image Text:d) How long is the 94% classical confidence interval for Pm? e) In terms of Pm = p and nm = n, give the formula for the standard deviation of the distribution of the sample proportion pmhat.(R code) O sqrt(n*p*(1-p)) O n*p* (1-P) O sqrt(p*(1-p)/n) O p*(1-p)/n f) Calculate an unbiased point estimate of Pf
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