SDNM-406 日本AV \sigma of a set of numbers is a measure of how much the data deviates from the mean. It is used to understand the distribution or probability distribution of the set of data. It is also used to measure the standard variation of a set of data. Another way to stand for the variation is the use of the standard deviation. The most used way to show the variation is by using the $sigma$ symbol. The probability distribution of a set of data can be measured using the standard deviation. The standard deviation is calculated using the root square of the variability of the data from the mean. The formula for the standard deviation is $sigma = sqrt{frac{1}{N} sum_{i=1}^{N} (x_i - mean)^2}$. ### it is important to calculate the mean of a set of data ### To calculate the mean of a calculation. 8 measures of data becomes important. The formula for the mean is $sigma = sqrt{frac{1}{N} sum_{i=1}^{N} (x_i - mean)^2}$. ### understand the variance of a set of data ### To make it important in calculating the standard sigma of a calculation. 8 measures of data becomes important. The formula for the mean is $sigma = sqrt{frac{1}{N} sum_{i=1}^{N} (x_i - mean)^2}$. ### it is important to find the standard deviation of a set of data ### To get a clear calculation. 8 data measures of data becomes important. The formula for the mean is $sigma = sqrt{frac{1}{N} sum_{i=1}^{N} (x_i - mean)^2}$. ### it is important to get the standard deviation of a set of data ### to take a clear calculation. 8 data measures of data becomes important. The formula for the mean is $sigma = sqrt{frac{1}{N} sum_{i=1}^{N} (x_i - mean)^2}$. ### consider the mean of the data ### Because calculating the mean is a good idea. 8 data measures of data becomes important. The formula for the mean is $sigma = sqrt{frac{1}{N} sum_{i=1}^{N} (x_i - mean)^2}$. ### consider the variation of the data ### Make it important in calculating the variation of a calculation. 8 data measures of data becomes important. The formula for the mean is $sigma = sqrt{frac{1}{N} sum_{i=1}^{N} (x_i - mean)^2}$. ### consider the standard deviation of the data ### Make it important in calculating the standard deviation of a calculation. 8 data measures of data becomes important. The formula for the mean is $sigma = sqrt{frac{1}{N} sum_{i=1}^{N} (x_i - mean)^2}$. ### mean of a set of data is like the degree of the data ### Finding the standard deviation is also thus important. 8 data measures of data becomes important. The formula for the mean is $sigma = sqrt{frac{1}{N} sum_{i=1}^{N} (x_i - mean)^2}$. ### mean of a set of data is like the degree of the data ### To get a clear calculation. 8 data measures of data becomes important. The formula for the mean is $sigma = sqrt{frac1}{N} sum_{i=1}^{N} (x_i - mean)^2}$. ### mean of a set of data is like the degree of the data ^2$$ To get a clear calculation. 8 data measures of data becomes important. The formula for the mean is $sigma = sqrt{frac1}{N} sum_{i=1}^{N} (x_i - mean)^2}$. ### mean of a set of data is like the degree of the data $$&$$ To get a clear calculation. 8 data measures of data becomes important. The formula for the mean is $sigma = sqrt{frac1}{N} sum_{i=1}^{N} (x_i - mean)^2}$. - 免费预告片中文字幕 srt。

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