Difference between revisions of "Manuals/calci/TTESTTWOSAMPLESEQUALVARIANCES"
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+ | ==Related Videos== | ||
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+ | {{#ev:youtube|v=-pTbC_tBy6w|280|center|T Test two sample Equal variances}} | ||
==See Also== | ==See Also== |
Latest revision as of 14:48, 6 December 2018
TTESTTWOSAMPLESEQUALVARIANCES (Array1,Array2,HypothesizedMeanDifference,Alpha,NewTableFlag)
- and are set of values.
- is the Hypothesized Mean Difference.
- is the significance level.
- is either 0 or 1.
- TTESTTWOSAMPLESEQUALVARIANCES(), determines whether two sample means are equal.
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 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 NewTableFlag value it will consider the value as "0".
- The t statistic of this function calculated by:
where
- Here and are unbiased estimators of the variances of two samples. 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. and 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 |
- =TTESTTWOSAMPLESEQUALVARIANCES(A1:F1,A2:F2,2,0.5,0)
Variable 1 | Variable 2 | |
---|---|---|
Mean | 19.333333333333332 | 20.666666666666668 |
Variance | 87.06666666666666 | 109.86666666666667 |
Observations | 6 | 6 |
Pooled Variance | 98.46666666666667 | |
Hypothesized Mean Difference | 2 | |
Degree Of Freedom | 10 | |
T- Statistics | -0.5818281835787091 | |
P(T<=t) One-tail | 0.28678199670723614 | |
T Critical One-Tail | 0 | |
P(T<=t) Two-tail | 0.5735639934144723 | |
T Critical Two-Tail | 0.6998120613365443 |
Related Videos
See Also
References