Difference between revisions of "Manuals/calci/TTESTEQUALVARIANCES"
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*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: | ||
− | <math>t = \frac{\bar{x_1}-\bar{x_2}}{ | + | <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_x_1</math> and <math>s_x_2</math> are unbiased estimators of the variances of two samples.<math>s_x_1.s_x_2</math> is the grand standard deviation data 1 and data2 and n is the data points of two data set. | *Here <math>s_x_1</math> and <math>s_x_2</math> are unbiased estimators of the variances of two samples.<math>s_x_1.s_x_2</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 | *This function will give the result as error when |
Revision as of 23:14, 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:
where
- 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 |
- =TTESTSAMPLESEQUALVARIANCES(A1:F1,A2:F2,2,0.5)
See Also