Difference between revisions of "Manuals/calci/CHIDIST"

Revision as of 07:01, 12 November 2013

CHIDIST(x,df)

This function gives the one_tailed probability of the chi-squared distribution.
It is denoted by $\chi ^{2}$ distribution.Normally categorical data's may displayed in tables.
The $\chi ^{2}$ static used to compare the observed value in each table to the value which would be the expected under the assumption.
The conditions of $\chi ^{2}$ 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:

$\chi ^{2}=\sum {\frac {(Oi-Ei)^{2}}{Ei}}$ The degrees of freedom are: (r–1)(c–1)

Where:

Also this function will the result as Error when

@@ Line 7: / Line 7: @@
 *This function gives the one_tailed probability of the chi-squared distribution.
 *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.
-*which would be the expected  under the assumption. The conditions of <math>\chi^2</math> test is
+*The conditions of <math>\chi^2</math> test is
-#The table should be 2x2 or more than 2x2
+**The table should be 2x2 or more than 2x2
-#Each observations should not be dependent
+**Each observations should not be dependent
-#All expected values should be 10 or greater.
+**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>
 The degrees of freedom are: (r–1)(c–1)