Solution
Back-up Theory
If a random variable X ~ N(µ, σ2), i.e., X has Normal Distribution with mean µ and variance σ2, then, Z = (X - µ)/σ ~ N(0, 1), i.e., Standard Normal Distribution and hence
P(X ≤ or ≥ t) = P[{(X - µ)/σ} ≤ or ≥ {(t - µ)/σ}] = P[Z ≤ or ≥ {(t - µ)/σ}] .………………..............................................…(1)
Probability values for the Standard Normal Variable, Z, can be directly read off from Standard Normal Tables … (1a)
or can be found using Excel Function: Statistical, NORMSDIST(z) which gives P(Z ≤ z) …..................................(1b)
X bar ~ N(µ, σ2/n),……………………………………………………………........................................................…….(2),
where X bar is average of a sample of size n from population of X.
Now to work out the solution,
Let X represent the values. Then. Given X ~ N(229, 67.4) ................................................................................... (3)
And so, if Xbar is the sample mean based on 16 values,
vide (2), Xbar ~ X ~ N(229, 16.85) ....................................................................................................................... (4)
Part (a)
Probability a single randomly selected value is greater than 212.6
= P(X > 212.6)
= P[Z > {(212.6 - 229)/67.4}] [vide (1) and (3)]
= P(Z > - 0.2433)
= 0.5962 [vide (1b)] Answer 1
Part (b)
Probability that a sample of size 16 is randomly selected with mean greater than 212.6
= P(Xbar > 212.6)
= P[Z > {(212.6 - 229)/16.85}] [vide (1) and (4)]
= P(Z > - 0.9733)
= 0.8348 [vide (1b)] Answer 2
DONE
A population of values has a normal distribution with u = 229.4 and a = 67.4....
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