Manuals/calci/CHIDIST

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 $\chi ^{2}$ distribution.
• Normally categorical data's may displayed in tables.
• The $\chi ^{2}$ static used to compare the observed value in each table to the assumed value.
• The conditions of $\chi ^{2}$ test is

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:

$\chi ^{2}=\sum {\frac {(Oi-Ei)^{2}}{Ei}}$

The degrees of freedom are: Failed to parse (syntax error): {\displaystyle (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 $\chi ^{2}$ 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

See Also

• CHITEST

References

CHI-SQUARE Distribution