Difference between revisions of "Manuals/calci/CHIDIST"
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<div style="font-size:30px">'''CHIDIST(x,df)'''</div><br/> | <div style="font-size:30px">'''CHIDIST(x,df)'''</div><br/> | ||
| − | *' | + | *'x' is the value for which distribution is evaluated. |
| + | *'df' is the number of degrees of freedom. | ||
==Description== | ==Description== | ||
*This function gives the one_tailed probability of the chi-squared distribution. | *This function gives the one_tailed probability of the chi-squared distribution. | ||
| − | *It is denoted by | + | *It is denoted by <math>\chi^2</math> distribution.Normally categorical data's may displayed in tables. |
| − | *The | + | *The <math>\chi^2</math> static used to compare the observed value in each table to the value |
*which would be the expected under the assumption. The conditions of X^2 test is | *which would be the expected under the assumption. The conditions of X^2 test is | ||
Revision as of 06:52, 12 November 2013
CHIDIST(x,df)
- 'x' is the value for which distribution is evaluated.
- 'df' is the number of degrees of freedom.
Description
- This function gives the one_tailed probability of the chi-squared distribution.
- It is denoted by distribution.Normally categorical data's may displayed in tables.
- The static used to compare the observed value in each table to the value
- which would be the expected under the assumption. The conditions of X^2 test is
distribution.Normally categorical data's may displayed in tables.1.The table should be 2x2 or more than 2x2 2.Each observations should not be dependent 3.All expected values should be 10 or greater. The test statistic is: X^2=summation(Oi-Ei)^2/Ei The degrees of freedom are: (r–1)(c–1) r =No. of rows and c = No. of columns Where: Oi-the observed value in the ith cell Ei- the expected value in the ith cell Also this function will the result as Error when 1.The x&df values are nonnumeric 2.The x value is negative or df value is not an integer 3. The df <1or df>10^10 4.Here CHIDIST=P(X>x),where X is a X^2 random variable.
- CHIDIST(-2,1)=Error,because x is negative.
- CHIDIST(2,-1)=Error, because df<1
Examples
| CHIDIST(x,df) | x | df | RESULT |
|---|---|---|---|
| CHIDIST(18,2) | 18 | 2 | 0.0001234098 |
| CHIDIST(15,1) | 15 | 1 | 0.0001075112 |
| CHIDIST(2,1) | 2 | 1 | 0.157299207050 |
| CHIDIST(-2,1) | (-)2 | 1 | error |
| CHIDIST(2,-1) | 2 | (-)1 | error |