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The steps to find the sample variance are as follows: Find the mean of the data. Subtract the mean from each data point. Take the summation of the squares of values obtained in the previous step. Divide this value by n - 1.
How To Calculate Variance - YouTube YouTube Start of suggested clip End of suggested clip So variance is represented by the symbol s squared s represents sample standard deviation but sMoreSo variance is represented by the symbol s squared s represents sample standard deviation but s squared is the variance of a sample. And is equal to the sum of the square differences between each data
Given a sample of data of size n , the sample variance is calculated using s2=1n?1n?i=1(xi?¯x)2.
Interpretation. The variance of the sample data is an estimate of the population variance. Because the variance is based on sample data and not on the entire population, it is unlikely that the sample variance equals the population variance. To better estimate the population variance, use the confidence interval.
In statistics, variance measures variability from the average or mean. It is calculated by taking the differences between each number in the data set and the mean, then squaring the differences to make them positive, and finally dividing the sum of the squares by the number of values in the data set.