Suppose you compare the mean of raw data and the mean of the same raw data grouped into a frequency distribution. These two means will be
it is used to find mean<median and mode of grouped data
Mean and median are the measures of central location that always have one value. This is true for a set of grouped or ungrouped data.
no
take the max plus the min and divide the anser by to
Differing from standard deviations, the coded deviation method finds the mean of grouped data from the assumed mean using unit deviations. This is a shorter way to find the mean.
Suppose you compare the mean of raw data and the mean of the same raw data grouped into a frequency distribution. These two means will be
it is used to find mean<median and mode of grouped data
Mean = a + [
Mean, median and mode are ways to find averages. The mode is the most common answer in a set of data. The median the number that is in the middle when the numbers are put in order. The mean is the statical average.
The geometric-harmonic mean of grouped data can be formed as a sequence defined as g(n+1) = square root(g(n)*h(n)) and h(n+1) = (2/((1/g(n)) + (1/h(n)))). Essentially, this means both sequences will converge to the mean, which is the geometric harmonic mean.
1.6*s+mean and1.6*s and count numbers between them
Mean and median are the measures of central location that always have one value. This is true for a set of grouped or ungrouped data.
hey u can choose any number from the frequency to find the assumed mean suppose u have 8 frequencies u can assume 4 as the mean
Computer File is the data grouped into one unit under one name using the particular software. Data is the digitalized information.
The class midpoint
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