Difference between revisions of "Manuals/calci/CHIDIST"
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*which would be the expected under the assumption. The conditions of <math>\chi^2</math> test is | *which would be the expected under the assumption. The conditions of <math>\chi^2</math> test is | ||
− | + | #The table should be 2x2 or more than 2x2 | |
− | + | #Each observations should not be dependent | |
− | + | #All expected values should be 10 or greater. | |
The test statistic is: | The test statistic is: | ||
<math>\chi^2=\sum\frac{(Oi-Ei)^2}{Ei}</math> | <math>\chi^2=\sum\frac{(Oi-Ei)^2}{Ei}</math> | ||
Line 21: | Line 21: | ||
*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 | ||
− | + | #The x & df values are non-numeric | |
− | + | #The x value is negative or df value is not an integer | |
− | + | #The df <1 or df>10^10 | |
− | + | #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. |
Revision as of 07:00, 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
- The table should be 2x2 or more than 2x2
- Each observations should not be dependent
- All expected values should be 10 or greater.
The test statistic is: 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
- The x & df values are non-numeric
- The x value is negative or df value is not an integer
- The df <1 or df>10^10
- 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 |