Consider a binomial experiment. If the number of trials is increased, what happens to the expected value? To the standard deviation? Explain.
WRITE IN TEXT NOT IMAGE TEXT SINCE I CANT READ SOME OF THE HANDWRITING IN IMAGE TEXT
we know that mean and standard deviation of binomial distribution are given as
Mean = n*p
and
Standard deviation =
where n is the number of trails and p is the probability
We can see that the mean and standard deviation are directly proportional to the number of trails n. This means that if we increase the number of trials, then mean and standard deviation will also increase and if we decrease the number of trials, then the mean and standard deviation will also decrease
For example
consider a binomial experiment with n = 50 and p =0.10
then
mean = n*p = 50*0.10 = 5
and SD = sqrt(n*p*(1-p)) = sqrt(50*0.10*(1-0.10)) = 2.12
and if we increase the number of trial n to 100, then
mean = n*p = 100*0.10 = 10
and SD = sqrt(n*p*(1-p)) = sqrt(100*0.10*(1-0.10)) = 3
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