Difference between revisions of "Manuals/calci/CHIDIST"
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*It is denoted by <math>\chi^2</math> distribution.Normally categorical data's may displayed in tables. | *It is denoted by <math>\chi^2</math> distribution.Normally categorical data's may displayed in tables. | ||
*The <math>\chi^2</math> static used to compare the observed value in each table to the value | *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 | + | *which would be the expected under the assumption. The conditions of <math>\chi^2</math> test is |
1.The table should be 2x2 or more than 2x2 | 1.The table should be 2x2 or more than 2x2 | ||
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<math>\chi^2=\sum\frac{(Oi-Ei)^2}{Ei}</math> | <math>\chi^2=\sum\frac{(Oi-Ei)^2}{Ei}</math> | ||
The degrees of freedom are: (r–1)(c–1) | The degrees of freedom are: (r–1)(c–1) | ||
| − | r =No. of rows | + | *r = No. of rows |
| + | *c = No. of columns | ||
Where: | Where: | ||
| − | Oi-the observed value in the ith cell | + | *Oi-the observed value in the ith cell |
| − | Ei- the expected value in the ith cell | + | *Ei- the expected value in the ith cell |
Also this function will the result as Error when | Also this function will the result as Error when | ||
| − | 1.The x&df values are non-numeric | + | 1.The x & df values are non-numeric |
2.The x value is negative or df value is not an integer | 2.The x value is negative or df value is not an integer | ||
| − | 3. The df < | + | 3. The df <1 or df>10^10 |
4.Here CHIDIST=P(X>x),where X is a <math>\chi^2</math> random variable. | 4.Here CHIDIST=P(X>x),where X is a <math>\chi^2</math> random variable. | ||
| − | *CHIDIST(-2,1)=Error,because x is negative. | + | *CHIDIST(-2,1)=Error, because x is negative. |
*CHIDIST(2,-1)=Error, because df<1 | *CHIDIST(2,-1)=Error, because df<1 | ||
Revision as of 06:58, 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 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: The degrees of freedom are: (r–1)(c–1)
The degrees of freedom are: (r–1)(c–1)
- r = No. of rows
- 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 non-numeric 2.The x value is negative or df value is not an integer 3. The df <1 or df>10^10 4.Here CHIDIST=P(X>x),where X is a 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 |