Difference between revisions of "Manuals/calci/TTEST"
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− | <div | + | <div style="font-size:30px">'''TTEST(ar1,ar2,ta,ty)'''</div><br/> |
+ | *<math>ar1 </math> and <math> ar2 </math> are the array of values. | ||
+ | *<math> ta </math> is the number of distribution tails. | ||
+ | *<math> ty </math> is the type of t-test. | ||
− | |||
− | + | ==Descrition== | |
− | -- | + | *This function gives the probability of the t-test. |
− | + | *It is also called student's t-test. | |
− | ---- | + | *This function is used to find the probability of two samples having the same mean but equal or unequal variances. |
− | + | *In TTEST(ar1,ar2,ta,ty), ar1 and ar2 are two set of array values. | |
+ | *ta is indicating the number of distribution tails. ta value is either 1 or 2. | ||
+ | *If ta=1,then TTEST uses the one-tailed distrbution.If ta=2, then TTEST uses the two-tailed distrbution.ty is the type of t-Test. ty value is 1 or 2 or 3. | ||
+ | ty value t-Test is performed | ||
+ | 1 - Paired | ||
+ | 2 - Two-sample equal variance | ||
+ | 3 - Two-sample unequal variance | ||
+ | *Suppose we are giving ta and ty in decimals , then it will converted in to integers. | ||
+ | *TTEST uses the value of ar1 and ar2 to find non-negative t-statistic. | ||
+ | *If ta=1, then it gives the probability of a higher value of the t-statistic with consideration of two arrays of samples with the same mean. | ||
+ | *If ta=2, then TTEST is gives double that when ta=1 and corresponds to the probability of a higher absolute value of the t-statistic with the consideration of same mean. | ||
+ | This function will give the result as error when | ||
+ | 1. ar1 and ar2 have a different number of data points and ty=1. | ||
+ | 2. Any one of the argument is nonnumeric. | ||
+ | 3. ta>2 and ty>3. | ||
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− | + | ==Examples== | |
− | + | {| class="wikitable" | |
− | + | |+Spreadsheet | |
− | - | + | |- |
− | + | ! !! A !! B !! C !! D!! E!! F !! G | |
− | + | |- | |
− | + | ! 1 | |
− | + | | 3 || 5 || 14 || 10 || 8 || 2 || 15 | |
− | + | |- | |
+ | ! 2 | ||
+ | | 11 || 19 || 5 || 4 || 15 || 7 || 3 | ||
+ | |} | ||
− | + | #=TTEST(A1:G1,A2:G2,1,1)=0.399108571503 | |
+ | #=TTEST(A1:G1,A2:G2,2,1)=0.7982171430076 | ||
+ | #=TTEST(A1:G1,A2:G2,1,2)=0.3725946027453 | ||
+ | #=TTEST(A1:G1,A2:G2,2,2)=0.7451892054907 | ||
+ | #=TTEST(A1:G1,A2:G2,1,3) = 0.382340251837 | ||
+ | #=TTEST(A1:G1,A2:G2,2,3) = 0.76468050367 | ||
+ | #=TTEST(A1:G1,A2:G2,2.2,1.3) = NAN | ||
− | |||
− | + | ==See Also== | |
+ | *[[Manuals/calci/TDIST | TDIST ]] | ||
+ | *[[Manuals/calci/TINV | TINV ]] | ||
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− | + | ==References== | |
− |
Revision as of 02:51, 3 February 2014
TTEST(ar1,ar2,ta,ty)
- and are the array of values.
- is the number of distribution tails.
- is the type of t-test.
Descrition
- This function gives the probability of the t-test.
- It is also called student's t-test.
- This function is used to find the probability of two samples having the same mean but equal or unequal variances.
- In TTEST(ar1,ar2,ta,ty), ar1 and ar2 are two set of array values.
- ta is indicating the number of distribution tails. ta value is either 1 or 2.
- If ta=1,then TTEST uses the one-tailed distrbution.If ta=2, then TTEST uses the two-tailed distrbution.ty is the type of t-Test. ty value is 1 or 2 or 3.
ty value t-Test is performed 1 - Paired 2 - Two-sample equal variance 3 - Two-sample unequal variance
- Suppose we are giving ta and ty in decimals , then it will converted in to integers.
- TTEST uses the value of ar1 and ar2 to find non-negative t-statistic.
- If ta=1, then it gives the probability of a higher value of the t-statistic with consideration of two arrays of samples with the same mean.
- If ta=2, then TTEST is gives double that when ta=1 and corresponds to the probability of a higher absolute value of the t-statistic with the consideration of same mean.
This function will give the result as error when
1. ar1 and ar2 have a different number of data points and ty=1. 2. Any one of the argument is nonnumeric. 3. ta>2 and ty>3.
Examples
A | B | C | D | E | F | G | |
---|---|---|---|---|---|---|---|
1 | 3 | 5 | 14 | 10 | 8 | 2 | 15 |
2 | 11 | 19 | 5 | 4 | 15 | 7 | 3 |
- =TTEST(A1:G1,A2:G2,1,1)=0.399108571503
- =TTEST(A1:G1,A2:G2,2,1)=0.7982171430076
- =TTEST(A1:G1,A2:G2,1,2)=0.3725946027453
- =TTEST(A1:G1,A2:G2,2,2)=0.7451892054907
- =TTEST(A1:G1,A2:G2,1,3) = 0.382340251837
- =TTEST(A1:G1,A2:G2,2,3) = 0.76468050367
- =TTEST(A1:G1,A2:G2,2.2,1.3) = NAN
See Also