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: | ||
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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 04:22, 3 February 2014
TTESTTWOSAMPLESEQUALVARIANCES(ar1,ar2,md,alpha,lv)
- and Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle ar2 } are set of values.
- Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle md } is the Hypothesized Mean Difference.
- Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle alpha } is the significance level.
- Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle lv } 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 Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle TTESTTWOSAMPLESEQUALVARIANCES(ar1,ar2,md,alpha,lv), ar1 } and Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle ar2 } are two arrays of sample values. Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle md } is the Hypothesized Mean Difference .
- Suppose md=0 which indicates that sample means are hypothesized to be equal.
- Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle alpha } is the significance level which ranges from 0 to 1.
- Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle lv } 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 (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle t = \frac{\bar{x_1}-\bar{x_2}}{s_x_1.s_x_2.\sqrt\frac{2}{n}}}
,where Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle s_x_1.s_x_2 = \sqrt\frac{1}{2}(s_x_1^2+s_x_2^2)}
.
- Here Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle s_x_1} and Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle s_x_2} are unbiased estimators of the variances of two samples.Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\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