Standard deviation tells us HOW CLOSE THE VALUES IN A DATA SET ARE TO THE MEAN. A low standard deviation indicates that the values tend to be close to the mean of the set. A high standard deviation indicates that the values are spread out over a wider range.

Variance measures variability from the average or mean. It is ymbolized by σ ². It is calculated as the average squared deviation of each number from the mean of a data set.

Skewness of curve depends upon the direction of the tail of the curve. If the curve tails towards the right side, it is a positively skewed curve. If the curve tails towards the left side, it is a negatively skewed curve.

Timestamps
0:16 Standard Deviation
2:41 Variance
3:06 Relationship between SD and Variance
4:34 Skewness of curve
5:35 Intro to MS Excel
6:40 Calculating SD in Excel
7:01 Calculating Variance in Excel
7:30 Calculating Skewness in Excel

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