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24 August, 19:49

Find the margin of error for a 95% confidence interval for estimating the population mean when the sample standard deviation equals 100 , with a sample size of (i) 484 and (ii) 1764. What is the effect of the sample size?

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  1. 24 August, 20:00
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    Answer: i) M. E = 1.96*100/√484

    M. E = 8.91

    ii) M. E = 1.96*100/√1764

    M. E = 4.67

    Therefore, the margin of error decreases as the sample size increases.

    Step-by-step explanation:

    Margin of error in statistics can be defined as a small amount that is allowed for in case of miscalculation or change of circumstances.

    For a statistical data margin of error can be expressed as;

    M. E = zr/√n

    Given that;

    Standard deviation r = 100

    Confidence interval = 95%

    sample size n1 = 484, n2 = 1764

    Z (at 95% confidence interval) = 1.96

    i) M. E = 1.96*100/√484

    M. E = 8.91

    ii) M. E = 1.96*100/√1764

    M. E = 4.67

    Therefore, the margin of error decreases as the sample size increases.
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