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10 January, 18:25

A random sample of 49 statistics examinations was taken. the average score, in the sample, was 84 with a variance of 12.25. the 95% confidence interval for the average examination score of the population of the examinations is

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  1. 10 January, 20:27
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    Since in this case we are only using the variance of the sample and not the variance of the real population, therefore we use the t statistic. The formula for the confidence interval is:

    CI = X ± t * s / sqrt (n) - - - > 1

    Where,

    X = the sample mean = 84

    t = the t score which is obtained in the standard distribution tables at 95% confidence level

    s = sample variance = 12.25

    n = number of samples = 49

    From the table at 95% confidence interval and degrees of freedom of 48 (DOF = n - 1), the value of t is around:

    t = 1.68

    Therefore substituting the given values to equation 1:

    CI = 84 ± 1.68 * 12.25 / sqrt (49)

    CI = 84 ± 2.94

    CI = 81.06, 86.94

    Therefore at 95% confidence level, the scores is from 81 to 87.
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