A normal distribution of scores in population has a mean of µ = 100 with σ = 20. A. What is the probability of randomly selecting a score greater than X = 110 from this population? B. If a sample of n = 25 scores is randomly selected from this population, what is the probability that the sample mean will be greater than M = 110?
a)
for normal distribution z score =(X-μ)/σ | |
here mean= μ= | 100 |
std deviation =σ= | 20.0000 |
probability of randomly selecting a score greater than X = 110 from this population:
probability = | P(X>110) | = | P(Z>0.5)= | 1-P(Z<0.5)= | 1-0.6915= | 0.3085 |
B)
sample size =n= | 25 |
std error=σx̅=σ/√n= | 4.0000 |
probability that the sample mean will be greater than M = 110:
probability = | P(X>110) | = | P(Z>2.5)= | 1-P(Z<2.5)= | 1-0.9938= | 0.0062 |
A normal distribution of scores in population has a mean of µ = 100 with σ...
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