Manuals/calci/NORMSDIST - Revision history

Devika at 22:22, 10 August 2018

2018-08-10T22:22:30Z

2018-06-14T23:12:12Z

2017-03-13T07:33:04Z

2015-06-20T01:33:33Z

2014-01-22T06:41:48Z

2014-01-08T05:07:24Z

Description

2014-01-08T05:02:52Z

Description

2014-01-08T05:02:19Z

Description

2014-01-07T06:00:16Z

Examples

2014-01-07T05:58:59Z

References

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 *<math>Number</math>  is the value of the function .
 *<math>Accuracy</math> is correct decimal places for the result.
-**NORMSDIST(),returns the standard normal cumulative distribution
+**NORMSDIST(),returns the standard normal cumulative distribution.
 ==Description==

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-<div style="font-size:30px">'''NORMSDIST(x)'''</div><br/>
+<div style="font-size:30px">'''NORMSDIST (Number,Accuracy)'''</div><br/>
-*<math>x</math>  is the value of the function
+*<math>Number</math>  is the value of the function .
 ==Description==

← Older revision		Revision as of 07:33, 13 March 2017
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	==References==		==References==
	[http://en.wikipedia.org/wiki/Normal_distribution Normal distribution ]		[http://en.wikipedia.org/wiki/Normal_distribution Normal distribution ]
		+
		+
		+
		+
		+	*[[Z_API_Functions \| List of Main Z Functions]]
		+
		+	*[[ Z3 \| Z3 home ]]

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 #=NORMSDIST(1.00006) = 0.8413586589
 #=NORMSDIST(12) = 1.0000002451499
 ==See Also==

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 <div style="font-size:30px">'''NORMSDIST(x)'''</div><br/>
 *<math>x</math>  is the value of the function
 ==Description==
-*This function gives the Standard normal cumulative distribution function.
+*This function gives the Standard Normal Cumulative Distribution function.
-*In normal distribution formula, when the mean is zero and the standard deviation is 1 then it is called Standard normal distribution.
+*In Normal Distribution formula, if the Mean is zero and the Standard Deviation is 1, then it is called Standard Normal Distribution.
-*The equation for the standard normal density function is:<math> f(x)=\frac{1}{\sqrt 2 \pi}. e^{-{\tfrac{x^2}{2}}}</math>
+*The equation for the Standard Normal Density function is:<math> f(x)=\frac{1}{\sqrt 2 \pi}. e^{-{\tfrac{x^2}{2}}}</math>
-*This function will return the result as error when the x value is non-numeric.
+*This function will return the result as error when the <math>x</math> value is non-numeric.
 ==Examples==

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 ==Examples==
-#NORMSDIST(4.74)=0.9999975333
+#=NORMSDIST(4.74) = 0.9999975333
-#NORMSDIST(5.0021)=0.9999999738
+#=NORMSDIST(5.0021) = 0.9999999738
-#NORMSDIST(1.00006)=0.8413586589
+#=NORMSDIST(1.00006) = 0.8413586589
-#NORMSDIST(12)=1.0000002451499
+#=NORMSDIST(12) = 1.0000002451499
 ==See Also==

← Older revision		Revision as of 05:58, 7 January 2014
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	==References==		==References==
		+	[http://en.wikipedia.org/wiki/Normal_distribution Normal distribution ]