A random variable follows a normal distribution with a mean of 825 and std. dev. of 224. What is the probability of gathering a sample of 25 observations and the sample average falls below 725 or above 925?
Given ,
= 825 , = 224
Using central limit theorem,
P( < x) = P (Z < x - / / sqrt(n) )
So,
P( 725 < < 925) = P( <925) - P( < 725)
= P( Z < 925 - 825 / 224 / sqrt(25) ) - P( Z < 725 - 825 / 224 / sqrt(25) )
= P( Z < 2.2321) - P( Z < -2.2321)
= 0.9872 - 0.0128
= 0.9744
Therefore,
P( < 725 or > 925) = 1 - P( 725 < < 925)
= 1 - 0.9744
= 0.0256
A random variable follows a normal distribution with a mean of 825 and std. dev. of...
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