[((.39)^2)*160 +((.61)^2)*340+2*.61*.39*190]^.5 = 15.5323
The mean of a proportion, p, is X/n; where X is the number of instances & n is the sample size; and its standard deviation is sqrt[p(1-p)]
here is the formula modulation index=peak freq deviation/operating freq. frm this we can calculate freq dev
Simple! The average deviation for any data set is zero - by definition.
You cannot because the standard deviation is not related to the median.
A z-score cannot help calculate standard deviation. In fact the very point of z-scores is to remove any contribution from the mean or standard deviation.
100 x (standard deviation/mean)
we calculate standard deviation to find the avg of the difference of all values from mean.,
You calculate the mean.For each observation, you calculate its deviation from the mean.Convert the deviation to absolute deviation.Calculate the mean of these absolute deviations.
The mean of a proportion, p, is X/n; where X is the number of instances & n is the sample size; and its standard deviation is sqrt[p(1-p)]
The mean average deviation is the same as the mean deviation (or the average deviation) and they are, by definition, 0.
deviation 15 is better
Square the standard deviation and you will have the variance.
27
In the same way that you calculate mean and median that are greater than the standard deviation!
You don't need to. Average deviation (about the mean) is always zero!
Standard deviation = square root of variance.
here is the formula modulation index=peak freq deviation/operating freq. frm this we can calculate freq dev