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  
  
1.The table should be 2x2 or more than 2x2
+
#The table should be 2x2 or more than 2x2
2.Each observations should not be dependent
+
#Each observations should not be dependent
3.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>
 
<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
1.The x & df values are non-numeric
+
#The x & df values are non-numeric
2.The x value is negative or df value is not an integer
+
#The x value is negative or df value is not an integer
3. The df <1 or df>10^10
+
#The df <1 or df>10^10
4.Here  CHIDIST=P(X>x),where X is a <math>\chi^2</math> random variable.  
+
#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 08:00, 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
  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)

  • 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

See Also

References

Complex Numbers