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  1. #1
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    Sample size determination



    the problem is to find the sample size needed. I'm given +or- 0.025 at the 95% confidence level and 58% of the population.
    so the answer is given as follows:
    a/2=0.025 z(a/2)=-1.96 [z(a/2)]^2=3.84 pie = 0.58 1-pie=0.42
    E=0.05 the answer is n=374.
    I don't understand how to use this information to get the answer. All I've been able to find is that E=(z*stdev/sqrt n) which is n=(z(a/2)*stdev/E)^2.
    What am I doing wrong and explain please.
    Thanks
    pugowner

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    Bhoot
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    Quote Originally Posted by pugowner View Post
    the problem is to find the sample size needed. I'm given +or- 0.025 at the 95% confidence level and 58% of the population.
    so the answer is given as follows:
    a/2=0.025 z(a/2)=-1.96 [z(a/2)]^2=3.84 pie = 0.58 1-pie=0.42
    E=0.05 the answer is n=374.
    I don't understand how to use this information to get the answer. All I've been able to find is that E=(z*stdev/sqrt n) which is n=(z(a/2)*stdev/E)^2.
    What am I doing wrong and explain please.
    Thanks
    pugowner
    Not a good description. I am not clear about E,margin of error ( 0.025 or 0.05)

    Try to solve in this way.

    Here z(a/2) = 1.96 and E =0.025
    stdev =sqrt( pie *(1-pie) ) ( point binomail distribution)
    Formula is same.
    n=(z(a/2)*stdev/E)^2
    = (1.96/0.025)^2*.58*.42
    = 1498(approx )
    if you give E =0.05 you will get n as 374.+


    You can try the online sample size calculator.
    http://www.berrie.dds.nl/calcss.htm
    http://www.dimensionresearch.com/res...mple_size.html
    In the long run, we're all dead.

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