Difference between revisions of "Manuals/calci/TTESTTWOSAMPLESUNEQUALVARIANCES"
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| − | + | <div style="font-size:30px">'''TTESTTWOSAMPLESUNEQUALVARIANCES (Array1,Array2,HypothesizedMeanDifference,Alpha,NewTableFlag)'''</div><br/> | |
| + | *<math>Array1 </math> and <math> Array2 </math> are set of values. | ||
| + | *<math>HypothesizedMeanDifference </math> is the Hypothesized Mean Difference. | ||
| + | *<math> Alpha </math> is the significance level. | ||
| + | *<math> NewTableFlag </math> is either 0 or 1. | ||
| + | |||
| + | ==Description== | ||
| + | *This function calculating the two Sample for unequal variances determines whether two sample means also distinct. | ||
| + | *We can use this test when both: | ||
| + | *1.the two sample sizes are may are may not be equal; | ||
| + | *2. The means and variances are distinct . | ||
| + | *In <math>TTESTTWOSAMPLESUNEQUALVARIANCES (Array1,Array2,HypothesizedMeanDifference,Alpha,NewTableFlag)</math>, <math>Array1</math> and <math> Array2 </math> are two arrays of sample values. | ||
| + | *<math> HypothesizedMeanDifference </math> is the Hypothesized Mean Difference. Suppose HypothesizedMeanDifference = 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> NewTableFlag </math> is either 0 or 1. | ||
| + | *"1" is indicating the result will display in new worksheet.Suppose we are omitted the <math>NewTableFlag</math> value it will consider the value as "0". | ||
| + | *The t-statistic of this function calculated by: | ||
| + | <math> t=\frac{\bar{x_1}-\bar{x_2}}{s_{\bar{x_1}-\bar{x_2}}}</math> | ||
| + | where <math>s_{\bar{x_1}-\bar{x_2}}= \sqrt{\frac{s_1^2}{n_1}+\frac{s_2^2}{n_2}} </math> | ||
| + | *Here <math> s_1^2</math> and <math> s_2^2</math> are unbiased estimators of the variances of two samples. <math> n_1</math> and <math> n_2</math> are the number of data points in two arrays. <math>s_{\bar{x_1}-\bar{x_2}}</math> is not a pooled variance. | ||
| + | *This function will give the result as error when | ||
| + | 1. any one of the argument is non-numeric. | ||
| + | 2.Alpha>1 | ||
Revision as of 17:50, 20 December 2016
TTESTTWOSAMPLESUNEQUALVARIANCES (Array1,Array2,HypothesizedMeanDifference,Alpha,NewTableFlag)
- and are set of values.
- is the Hypothesized Mean Difference.
- is the significance level.
- is either 0 or 1.
and 
are set of values.
is the Hypothesized Mean Difference.
is the significance level.
is either 0 or 1.Description
- This function calculating the two Sample for unequal variances determines whether two sample means also distinct.
- We can use this test when both:
- 1.the two sample sizes are may are may not be equal;
- 2. The means and variances are distinct .
- In , and are two arrays of sample values.
- is the Hypothesized Mean Difference. Suppose HypothesizedMeanDifference = 0 which indicates that sample means are hypothesized to be equal.
- is the significance level which ranges from 0 to 1.
- is either 0 or 1.
- "1" is indicating the result will display in new worksheet.Suppose we are omitted the value it will consider the value as "0".
- The t-statistic of this function calculated by:
, where
where 
- Here and are unbiased estimators of the variances of two samples. and are the number of data points in two arrays. is not a pooled variance.
- This function will give the result as error when
and 
are unbiased estimators of the variances of two samples. 
and 
are the number of data points in two arrays. 
is not a pooled variance. 1. any one of the argument is non-numeric.
2.Alpha>1