1)a)
for normal distribution z score =(X-μ)/σx | ||||||
a) | ||||||
b)here mean= μ= | 214 | |||||
std deviation =σ= | 22.5000 | |||||
probability = | P(208.4<X<223.1) | = | P(-0.25<Z<0.4)= | 0.6571-0.4017= | 0.2553 | |
b) sample size =n= |
41 | |||||
std error=σx̅=σ/√n= | 3.5139 |
probability = | P(208.4<X<223.1) | = | P(-1.59<Z<2.59)= | 0.9952-0.0555= | 0.9397 |
2)
for normal distribution z score =(p̂-p)/σp | |
here population proportion= p= | 0.750 |
sample size =n= | 177 |
std error of proportion=σp=√(p*(1-p)/n)= | 0.0325 |
probability = | P(0.66<X<0.84) | = | P(-2.77<Z<2.77)= | 0.9972-0.0028= | 0.9944 |
A population of values has a nornal distribution with μ sample of size n = 41....
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