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    Dec 13, 2015, 01:34 PM
    Statistics & Probability - Central limit Theorem with sample
    From a population A which follows a normal distribution with mean = 100 and standard deviation σ = 5 we take a sample
    n = 16.
    From a population B which follows a normal distribution with mean = 102 and standard deviation σ = 10 we take a sample
    n= 25
    Calculate the probability the mean of the sample from population A is larger from the mean of the sample from population B?


    Because the sample is less than 30 I guess normal rules of Central Limit Theory do not apply. This plus the fact that I can only find solved examples of problems that calculate greater/less than about one population have me at a loss
    Can anyone help me solve this? I am severely stuck. Thank you for any help.

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