The physical plant at the main campus of a large state university recieves daily requests to replace florecent lightbulbs. The distribution of the number of daily requests is bell - shaped and has a mean of 44 and a standard deviation of 10. Using the empirical rule, what is the approximate percentage of lightbulb replacement requests numbering between 44 and 74? Use 68-95-99.7 and do not enter the percent symbol.
The physical plant at the main campus of a large state university recieves daily requests to replace florecent lightbulbs. The distribution of the number of daily requests is bell - shaped and has a mean of 44 and a standard deviation of 10. Using the empirical rule, what is the approximate percentage of lightbulb replacement requests numbering between 44 and 74? Use 68-95-99.7 and do not enter the percent symbol.
The physical plant at the main campus of a large state university recieves daily requests to replace florecent lightbulbs. The distribution of the number of daily requests is bell - shaped and has a mean of 44 and a standard deviation of 10. Using the empirical rule, what is the approximate percentage of lightbulb replacement requests numbering between 44 and 74? Use 68-95-99.7 and do not enter the percent symbol.
The physical plant at the main campus of a large state university recieves daily requests to replace florecent lightbulbs. The distribution of the number of daily requests is bell - shaped and has a mean of 44 and a standard deviation of 10. Using the empirical rule, what is the approximate percentage of lightbulb replacement requests numbering between 44 and 74? Use 68-95-99.7 and do not enter the percent symbol.
Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...
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