x.temp = 0:9
mass= matrix(dbinom(x.temp,9,0.5),nrow=1)
colnames(mass) <- paste(0:9)
barplot(mass)

sum(dbinom(7:9,9,0.5))
2*(0.5-pnorm(750,800,40))
pnorm(700,800,40)
qnorm(c(0.025, 0.975),800,40)
qnorm(0.99,800,40)

zA=(165-150)/(sqrt(15^2/10))
1-pnorm(zA)
(1-pnorm(zA))*2

dat<-read.csv("http://www.matsuka.info/data_folder/datWA01.txt")
mean.M <-mean(dat$h[dat$gender=="M"])
sigma = 10
n.M = length(dat$h[dat$gender=="M"])
z.value=(mean.M-171)/(sqrt(sigma))


ssize = c(24,25,26,23.5,25,27,24,22,27.5,28)
ssize.mean = mean(ssize)
ssize.var = var(ssize)
N = 10
t.value=(ssize.mean-24)/(sqrt(ssize.var/N))
(1-pt(abs(t.value),df=9))*2
t.test(ssize, mu=24)