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22 March, 23:02

The physical plant at the main campus of a large state university recieves daily requests to replace fluorescent lightbulbs. The distribution of the number of daily requests is bell-shaped and has a mean of 52 and a standard deviation of 5. Using the empirical rule, what is the approximate percentage of lightbulb replacement requests numbering between 47 and 52

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  1. 23 March, 00:55
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    34% of lightbulb replacement requests numbering between 47 and 52

    Step-by-step explanation:

    The Empirical Rule states that, for a normally distributed random variable:

    68% of the measures are within 1 standard deviation of the mean.

    95% of the measures are within 2 standard deviation of the mean.

    99.7% of the measures are within 3 standard deviations of the mean.

    In this problem, we have that:

    Mean = 52

    Standard deviation = 5

    Between 47 and 52:

    52 is the mean and 47 is one standard deviation below the mean.

    By the Empirical Rule, 68% of the measures are within 1 standard deviation of the mean.

    Since the normal distribution is symmetric, of those, 34% are within 1 standard deviation below the mean and the mean (47 and 52) and 34% are within the mean and one standard deviation above the mean (52 and 57).

    So

    34% of lightbulb replacement requests numbering between 47 and 52
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