Difference between revisions of "Manuals/calci/TTEST"
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| − | <div style="font-size:30px">'''TTEST( | + | <div style="font-size:30px">'''TTEST(Array1,Array2,Tails,Type)'''</div><br/> |
| − | *<math> | + | *<math>Array1 </math> and <math> Array2 </math> are the array of values. |
| − | *<math> | + | *<math> Tails </math> is the number of distribution tails. |
| − | *<math> | + | *<math> Type </math> is the type of t-test. |
| + | **TTEST() returns the probability associated with a Students t-test. | ||
| − | + | ==Description== | |
| − | == | ||
*This function gives the probability of the t-test. | *This function gives the probability of the t-test. | ||
*It is also called student's 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. | *This function is used to find the probability of two samples having the same mean but equal or unequal variances. | ||
| − | *In TTEST( | + | *In <math>TTEST(Array1,Array2,Tails,Type)</math>, <math>Array1</math> and <math>Array2</math> are two set of array values. |
*ta is indicating the number of distribution tails. ta value is either 1 or 2. | *ta is indicating the number of distribution tails. ta value is either 1 or 2. | ||
| − | *If | + | *If Tails=1,then TTEST uses the one-tailed distribution.If Tails=2, then TTEST uses the two-tailed distribution. Type is the type of t-Test. Type value is 1 or 2 or 3. |
| − | + | {| class="wikitable" | |
| − | 1 - | + | |- |
| − | 2 | + | |Type value || t-Test is performed |
| − | 3 | + | |- |
| + | |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. | *Suppose we are giving ta and ty in decimals , then it will converted in to integers. | ||
| − | *TTEST uses the value of | + | *TTEST uses the value of Array1 and Array2 to find non-negative t-statistic. |
| − | *If | + | *If Tails=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 | + | *If Tails=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 | This function will give the result as error when | ||
| − | 1. | + | 1. Array1 and Array2 have a different number of data points and Type=1. |
2. Any one of the argument is nonnumeric. | 2. Any one of the argument is nonnumeric. | ||
| − | 3. | + | 3. Tails>2 and Type>3. |
| − | |||
| − | |||
==Examples== | ==Examples== | ||
| Line 44: | Line 48: | ||
#=TTEST(A1:G1,A2:G2,1,2)=0.3725946027453 | #=TTEST(A1:G1,A2:G2,1,2)=0.3725946027453 | ||
#=TTEST(A1:G1,A2:G2,2,2)=0.7451892054907 | #=TTEST(A1:G1,A2:G2,2,2)=0.7451892054907 | ||
| − | #=TTEST(A1:G1,A2:G2,1,3) = 0. | + | #=TTEST(A1:G1,A2:G2,1,3) = 0.37285157760157517 |
| − | #=TTEST(A1:G1,A2:G2,2,3) = 0. | + | #=TTEST(A1:G1,A2:G2,2,3) = 0.7457031552031503 |
#=TTEST(A1:G1,A2:G2,2.2,1.3) = NAN | #=TTEST(A1:G1,A2:G2,2.2,1.3) = NAN | ||
| + | |||
| + | ==Related Videos== | ||
| + | |||
| + | {{#ev:youtube|BlS11D2VL_U|280|center|T-TEST}} | ||
==See Also== | ==See Also== | ||
| Line 52: | Line 60: | ||
*[[Manuals/calci/TINV | TINV ]] | *[[Manuals/calci/TINV | TINV ]] | ||
| + | ==References== | ||
| + | *[http://docs.statwing.com/examples-and-definitions/t-test/ T-test] | ||
| − | + | ||
| + | *[[Z_API_Functions | List of Main Z Functions]] | ||
| + | |||
| + | *[[ Z3 | Z3 home ]] | ||
Latest revision as of 15:45, 18 June 2018
TTEST(Array1,Array2,Tails,Type)
- and are the array of values.
- is the number of distribution tails.
- is the type of t-test.
- TTEST() returns the probability associated with a Students t-test.
and 
are the array of values.
is the number of distribution tails.
is the type of t-test.
Description
- 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 , and are two set of array values.
- ta is indicating the number of distribution tails. ta value is either 1 or 2.
- If Tails=1,then TTEST uses the one-tailed distribution.If Tails=2, then TTEST uses the two-tailed distribution. Type is the type of t-Test. Type value is 1 or 2 or 3.
, | Type 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 Array1 and Array2 to find non-negative t-statistic.
- If Tails=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 Tails=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. Array1 and Array2 have a different number of data points and Type=1.
2. Any one of the argument is nonnumeric.
3. Tails>2 and Type>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) = 0.37285157760157517
- =TTEST(A1:G1,A2:G2,2,3) = 0.7457031552031503
- =TTEST(A1:G1,A2:G2,2.2,1.3) = NAN
Related Videos
See Also
References