Let S100 be the number of heads that turn up in 100 tosses of a fair coin. Use the Central Limit Theorem to estimate (a) P(S100 ≤ 45).
n = 100
p = 0.5
q = 1-p
sd = sqrt(n*p*q)
expected = n*p
value = (45.5 - expected) / sd
pnorm(value)
## [1] 0.1840601
n = 100
p = 0.5
q = 1-p
sd = sqrt(n*p*q)
expected = n*p
value1 = (44.5 - expected) / sd
value2 = (54.5 - expected) / sd
pnorm(value2) - pnorm(value1)
## [1] 0.6802738
n = 100
p = 0.5
q = 1-p
sd = sqrt(n*p*q)
expected = n*p
value1 = (63.5 - expected) / sd
pnorm(value1,lower.tail=FALSE)
## [1] 0.003466974
n = 100
p = 0.5
q = 1-p
sd = sqrt(n*p*q)
expected = n*p
value1 = (56.5 - expected) / sd
pnorm(value1)
## [1] 0.9031995