How do u calculated p values for a z test..
so far i ve done this
A = read.table("cw3_data.txt")
xbar = mean(A)
s = 1
n = 20
mu = 0
z.test = (xbar-mu)/(s/sqrt(n))
p.value = pnorm(abs(z.test))
error = qnorm(0.99)*s/sqrt(n)
left = xbar - error
right = xbar + error
and have got values off of i
How do u do this?
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I have been set a question which i understand statistically but my inability
with R is preventing me from finishing it..
My question is that we to calculate the frequency of Type 1 errors
starting with x = rnorm(10, 0.1, 1)
then doing a t-test seeing whether you reject the null hypothesis (Ho
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