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| − | <div style="font-size:30px">'''VARP(n1,n2,n3…)'''</div><br/> | + | <div style="font-size:30px">'''VARP()'''</div><br/> |
| − | *<math>n1,n2,n3,... </math> are numbers. | + | *Parameters are set of numbers. |
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| | ==Description== | | ==Description== |
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| | *i.e.,variance is a measure of how far each value in the data set is from the mean. | | *i.e.,variance is a measure of how far each value in the data set is from the mean. |
| | *It is denoted by <math> \sigma </math>. The square root of variance is called the standard deviation. | | *It is denoted by <math> \sigma </math>. The square root of variance is called the standard deviation. |
| − | *In <math>VARP(n1,n2,n3,...)</math>, <math>n1,n2,n3,...</math> are numbers based on a population. Here <math>n1</math> is required. <math>n2,n3,...</math> are optional. | + | *In <math>VARP()</math>, Parameters are numbers based on a population. Here First Parameter is required. From the second parameter are optional. |
| | *To find the variance we can use the following formula: | | *To find the variance we can use the following formula: |
| | <math>Variance= \frac{\sum (x_i-\bar{x})^2}{n-1}</math> | | <math>Variance= \frac{\sum (x_i-\bar{x})^2}{n-1}</math> |