Difference between revisions of "Manuals/calci/TTESTUNEQUALVARIANCES"
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(Created page with "<div id="6SpaceContent" class="zcontent" align="left"> '''TTESTTWOSAMPLESUNEQUALVARIANCES('''Array1, Array2, HypothesizeDiff, Alpha, NewTableFlag) where, '''Array1 '...") |
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− | <div | + | <div style="font-size:30px">'''TTESTTWOSAMPLESUNEQUALVARIANCES(ar1,ar2,md,alpha,lv)'''</div><br/> |
+ | *<math>ar1 </math> and <math> ar2 </math> are set of values. | ||
+ | *<math>md </math> is the Hypothesized Mean Difference. | ||
+ | *<math> alpha </math> is the significance level. | ||
+ | *<math> lv </math> is the logical value. | ||
− | |||
− | where | + | ==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(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. | ||
+ | *<math> alpha </math> is the significance level which ranges from 0 to 1. | ||
+ | *<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. | ||
+ | *The t statistic of this function calculated by: | ||
+ | t=x1(bar)-x2(bar)/sx1(bar)-x2(bar) where sx1(bar)-x2(bar)= sqart[s1^2/n1+s2^2/n2] | ||
+ | *Here s1^2 and s2^2 are unbiased estimators of the variances of two samples.n1 and n2 are the number of data points in two arrays . sx1(bar)-x2(bar) is not a pooled variance. | ||
+ | *This function will give the result as error when | ||
+ | 1. any one of th argument is nonnumeric. | ||
+ | 2.alpha>1 | ||
− | |||
− | |||
− | + | ==Examples== | |
− | + | {| class="wikitable" | |
− | + | |+Spreadsheet | |
− | + | |- | |
− | + | ! !! A !! B !! C !! D!! E !! F !! G | |
− | + | |- | |
− | + | ! 1 | |
− | + | | 12 || 21 || 9 || 18 || 27 || 37 ||41 | |
− | + | |- | |
− | + | ! 2 | |
− | + | | 19 || 8 || 45 || 29 || 14 || 10 || 11 | |
+ | |} | ||
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− | + | #=TTESTSAMPLESEQUALVARIANCES(A1:F1,A2:F2,0.5) | |
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− | + | ==See Also== | |
+ | *[[Manuals/calci/TTEST | TTEST ]] | ||
+ | *[[Manuals/calci/TDIST | TDIST ]] | ||
+ | *[[Manuals/calci/TINV | TINV ]] | ||
+ | *[[Manuals/calci/TTESTEQUALVARIANCES | TTESTEQUALVARIANCES ]] | ||
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− | + | ==References== | |
− |
Revision as of 03:37, 3 February 2014
TTESTTWOSAMPLESUNEQUALVARIANCES(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 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 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:
t=x1(bar)-x2(bar)/sx1(bar)-x2(bar) where sx1(bar)-x2(bar)= sqart[s1^2/n1+s2^2/n2]
- Here s1^2 and s2^2 are unbiased estimators of the variances of two samples.n1 and n2 are the number of data points in two arrays . sx1(bar)-x2(bar) is not a pooled variance.
- This function will give the result as error when
1. any one of th argument is nonnumeric. 2.alpha>1
Examples
A | B | C | D | E | F | G | |
---|---|---|---|---|---|---|---|
1 | 12 | 21 | 9 | 18 | 27 | 37 | 41 |
2 | 19 | 8 | 45 | 29 | 14 | 10 | 11 |
- =TTESTSAMPLESEQUALVARIANCES(A1:F1,A2:F2,0.5)
See Also