Difference between revisions of "Manuals/calci/TTESTEQUALVARIANCES"
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*This function calculating the two Sample for equal variances determines whether two sample means are equal. | *This function calculating the two Sample for equal variances determines whether two sample means are equal. | ||
*We can use this test when both: | *We can use this test when both: | ||
− | *1. | + | *1.The two sample sizes are equal; |
− | *2. | + | *2.It can be assumed that the two distributions have the same variance. |
− | *In TTESTTWOSAMPLESEQUALVARIANCES(ar1,ar2,md,alpha,lv), ar1 and ar2 are two arrays of sample values.md is the Hypothesized Mean Difference . | + | *In <math>TTESTTWOSAMPLESEQUALVARIANCES(ar1,ar2,md,alpha,lv), 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. | *Suppose md=0 which indicates that sample means are hypothesized to be equal. | ||
− | *alpha is the significance level which ranges from 0 | + | *<math> alpha </math> is the significance level which ranges from 0 to 1. |
− | *lv is the logical value like TRUE or FALSE. | + | *<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. | *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: | *The t statistic of this function calculated by: | ||
Line 23: | Line 23: | ||
2.alpha>1 | 2.alpha>1 | ||
3.ar1 and ar2 are having different number of data points. | 3.ar1 and ar2 are having different number of data points. | ||
− | |||
==Examples== | ==Examples== |
Revision as of 03:22, 3 February 2014
TTESTTWOSAMPLESEQUALVARIANCES(ar1,ar2,md,alpha,lv)
- and are set of values.
- is the Hypothesized Mean Difference.
- is the significance level.
- 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 and are two arrays of sample values. is the Hypothesized Mean Difference .
- Suppose md=0 which indicates that sample means are hypothesized to be equal.
- is the significance level which ranges from 0 to 1.
- 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:
Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. TeX parse error: Double subscripts: use braces to clarify"): {\displaystyle t={\frac {{\bar {x_{1}}}-{\bar {x_{2}}}}{s_{x}_{1}.s_{x}_{2}.{\sqrt {\frac {2}{n}}}}}} ,where Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. TeX parse error: Double subscripts: use braces to clarify"): {\displaystyle s_{x}_{1}.s_{x}_{2}={\sqrt {\frac {1}{2}}}(s_{x}_{1}^{2}+s_{x}_{2}^{2})} .
- Here Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. TeX parse error: Double subscripts: use braces to clarify"): {\displaystyle s_{x}_{1}} and Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. TeX parse error: Double subscripts: use braces to clarify"): {\displaystyle s_{x}_{2}} are unbiased estimators of the variances of two samples.Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. TeX parse error: Double subscripts: use braces to clarify"): {\displaystyle s_{x}_{1}.s_{x}_{2}} 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 nonnumeric. 2.alpha>1 3.ar1 and ar2 are having different number of data points.
Examples
A | B | C | D | E | F | |
---|---|---|---|---|---|---|
1 | 10 | 15 | 18 | 27 | 12 | 34 |
2 | 17 | 20 | 25 | 39 | 9 | 14 |
- =TTESTSAMPLESEQUALVARIANCE(A1:F1,A2:F2,0.5)
See Also