it is a binomial probability distribution,
because
there is fixed number of trials,
only two outcomes are there, success and
failure
trails are independent of each other
and probability is given by
P(X=x) = C(n,x)*px*(1-p)(n-x) |
where
Sample size , n = 153
Probability of an event of interest, p = 0.63
a)
P(no less than 87) = P(X≥87) = ΣC(n,x)*px*(1-p)(n-x) where x goes from 87 to 153
P(x≤87) = ΣC(153 ,x)*0.63x*(1-0.63)(153-x) where x goes from 87 to 153
b)
expected users = np =153 * 0.63 = 96.39
c)
Binomial to normal approximations using continuity
Sample size , n = 153
Probability of an event of interest, p =
0.63
right tailed
X ≥ 87
Mean = np = 96.39
std dev ,σ=√np(1-p)= 5.9720
P(X ≥ 87 ) = P(Xnormal ≥
86.5 )
Z=(Xnormal - µ ) / σ = -1.656
=P(Z ≥ -1.656 ) =
0.9511 (answer)
(4) Consider the probability that no less than 87 in a sample of 153 software users will not call...
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