Question 5e
x1<-69
n1<-100
x2<-17
n2<-30
p_hat1<-x1/n1
p_hat2<-x2/n2
pooled<-(x1+x2)/(n1+n2)
#sample z-test for prop (see setup for this above)
test_stat<-(p_hat1-p_hat2)/sqrt(pooled*(1-pooled)*(1/n1+1/n2)) #p-value
#two-tailed
pnorm(test_stat, lower.tail=FALSE)*2 #false shades upper tail
## [1] 0.2105353
#CONFIDENCE INTERVAL
critVal<-qnorm(0.975)
SE<-sqrt(p_hat1*(1-p_hat1)/n1+p_hat2*(1-p_hat2)/n2)
(p_hat1-p_hat2)+c(-1,1)*critVal*SE
## [1] -0.07581468 0.32248135
#RANDOMIZATION / PERMUTATION
nsim=1000
Populations<-c(rep("A",100), rep("T",30))
Follow<-c(rep("Yes",86), rep("No",44))
Popdif<-rep(NA, nsim)
for(i in 1:nsim){
permuteGen<-sample(Populations) #putting everyting in a bin
tab<-table(permuteGen, Follow) #creates table
Popdif[i]<-diff(tab[,2]/130)
}
hist(Popdif)
