Difference between revisions of "Manuals/calci/FISHER"

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<div style="font-size:30px">'''FISHER (Number)'''</div><br/>
 
<div style="font-size:30px">'''FISHER (Number)'''</div><br/>
 
*<math>Number</math> is the value to find the Fisher transformation.
 
*<math>Number</math> is the value to find the Fisher transformation.
 +
**FISHER(), returns the Fisher transformation.
  
 
==Description==
 
==Description==
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*In <math>FISHER(Number)</math>, <math>Number</math> is the value which ranges between -1 to +1.  
 
*In <math>FISHER(Number)</math>, <math>Number</math> is the value which ranges between -1 to +1.  
 
*The transformation is defined by : <math>z=\frac{1}{2} ln(1+\frac{x}{1-x})= arctanh(x)</math>
 
*The transformation is defined by : <math>z=\frac{1}{2} ln(1+\frac{x}{1-x})= arctanh(x)</math>
where <math>ln</math> is the natural logarithm function and <math>arctanh</math> is the Inverse Hyperbolic function.  
+
where <math> ln </math> is the natural logarithm function and <math> arctanh </math> is the Inverse Hyperbolic function.  
 
*This function will give the result as error when:
 
*This function will give the result as error when:
 
  1.<math>Number</math> is non-numeric
 
  1.<math>Number</math> is non-numeric

Latest revision as of 17:01, 7 August 2018

FISHER (Number)


  • is the value to find the Fisher transformation.
    • FISHER(), returns the Fisher transformation.

Description

  • This function gives the value of Fisher Transformation for the given number.
  • Fisher Transformation is used to test the hypothesis of two correlations.
  • It is mainly associated with the Pearson Product-Moment Correlation coefficient for bi-variate normal observations.
  • In , is the value which ranges between -1 to +1.
  • The transformation is defined by :

where is the natural logarithm function and is the Inverse Hyperbolic function.

  • This function will give the result as error when:
1. is non-numeric
2. or .

ZOS

  • The syntax is to calculate FISHER in ZOS is .
    • is the value to find the Fisher transformation.
  • For e.g.,FISHER(0.1..0.4..0.1)
Fisher Transformation

Examples

  1. FISHER(0.5642) = 0.6389731838284958
  2. FISHER(0)= 0
  3. FISHER(-0.3278) = -0.3403614004970268
  4. FISHER(1) = Infinity
  5. FISHER(-1) = -Infinity

Related Videos

Sampling Distributions

See Also

References

Fisher Distribution