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| − | ttest
| + | TTESTTWOSAMPLESEQUALVARIANCES (Array1,Array2,HypothesizedMeanDifference,Alpha,NewTableFlag) |
| | + | <div style="font-size:30px">'''TTESTTWOSAMPLESEQUALVARIANCES(ar1,ar2,md,alpha,lv)'''</div><br/> |
| | + | *<math>ar1 </math> and <math> ar2 </math> are set of values. |
| | + | *<math>md </math> is the Hypothesized Mean Difference. |
| | + | *<math> alpha </math> is the significance level. |
| | + | *<math> lv </math> is the logical value. |
| | + | |
| | + | ==Description== |
| | + | *This function calculating the two Sample for equal variances determines whether two sample means are equal. |
| | + | *We can use this test when both: |
| | + | *1.The two sample sizes are equal; |
| | + | *2.It can be assumed that the two distributions have the same variance. |
| | + | *In <math>TTESTTWOSAMPLESEQUALVARIANCES(ar1,ar2,md,alpha,lv)</math>, <math>ar1 </math> and <math> ar2 </math> are two arrays of sample values. <math> md </math> is the Hypothesized Mean Difference . |
| | + | *Suppose md=0 which indicates that sample means are hypothesized to be equal. |
| | + | *<math> alpha </math> is the significance level which ranges from 0 to 1. |
| | + | *<math> lv </math> is the logical value like TRUE or FALSE. |
| | + | *TRUE is indicating the result will display in new worksheet.Suppose we are omitted the lv value it will consider the value as FALSE. |
| | + | *The t statistic of this function calculated by: |
| | + | <math>t = \frac{\bar{x_1}-\bar{x_2}}{s_{x1}.s_{x2}.\sqrt{\frac{2}{n}}}</math> |
| | + | where <math>s_{x1}.s_{x2} = \sqrt{\frac{1}{2}(s_{x1}^2+s_{x2}^2)}</math> |
| | + | *Here <math>s_{x1}</math> and <math>s_{x2}</math> are unbiased estimators of the variances of two samples.<math>s_{x1}.s_{x2}</math> is the grand standard deviation data 1 and data2 and n is the data points of two data set. |
| | + | *This function will give the result as error when |
| | + | 1.any one of the argument is non-numeric. |
| | + | 2.alpha>1 |
| | + | 3.<math>ar1 </math> and <math> ar2 </math> are having different number of data points. |