Difference between revisions of "Manuals/calci/NORMALDISTRIBUTED"

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<div style="font-size:30px">'''NORMALDISTRIBUTED(x,m,sd)'''</div><br/>
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<div style="font-size:30px">'''NORMALDISTRIBUTED (Numbers,Mean,StandardDeviation)'''</div><br/>
*<math>x</math>  is the value for which distribution is evaluated.  
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*<math>Numbers</math>  is the value for which distribution is evaluated.  
*<math>m </math> is the mean.
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*<math>Mean</math> is the mean.
*<math>sd</math> is the standard deviation.
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*<math>StandardDeviation</math> is the standard deviation.
  
 
==Description==
 
==Description==
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#NORMALDISTRIBUTED(22,25,2.5) = -16.307435699813773,69.98317771544811,13.493570858283977,46.350299353375874 etc
 
#NORMALDISTRIBUTED(22,25,2.5) = -16.307435699813773,69.98317771544811,13.493570858283977,46.350299353375874 etc
 
#=NORMALDISTRIBUTED(30,36,20.9) = -39.85074927994863,24.24627001288364,23.575289380647483,-20.639707171803707,-8.8266089980268 etc.
 
#=NORMALDISTRIBUTED(30,36,20.9) = -39.85074927994863,24.24627001288364,23.575289380647483,-20.639707171803707,-8.8266089980268 etc.
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==Related Videos==
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{{#ev:youtube|v=EG8AF2B_dps|280|center|Normal Distribution}}
  
 
==See Also==
 
==See Also==

Latest revision as of 15:18, 6 December 2018

NORMALDISTRIBUTED (Numbers,Mean,StandardDeviation)


  • is the value for which distribution is evaluated.
  • is the mean.
  • is the standard deviation.

Description

  • This function gives the value of the normal probability distribution.
  • It is the continuous probability distribution.
  • The normal distributions are a very important class of statistical distributions.
  • All normal distributions are symmetric and have bell-shaped density curves with a single peak.
  • The term bell curve is used to describe the mathematical concept called normal distribution.
  • It is also called as Gaussian distribution.
  • The Normal Distribution has: mean = median = mode
  • i.e., This distribution is symmetry about the center.
  • Half of values less than the mean and half of values greater than the mean.
  • In a normal distribution the probability values are satisfying the following conditions:
 1. The total area under the curve is equal to 1 (100%) 
 2. About 68% of the area under the curve falls within 1 standard deviation.
 3. About 95% of the area under the curve falls within 2 standard deviations.
 4. About 99.7% of the area under the curve falls within 3 standard deviations. 
  • In a normal distribution the mean =0 and standard deviation =1,then the distribution is called the standard normal distribution or the unit normal distribution, and a random variable with that distribution is a standard normal deviate.
  • It is the only absolutely continuous distribution.
  • A normal distribution is calculated by :

where is the mean and is the standard deviaton of the distribution.

Examples

  1. NORMALDISTRIBUTED(22,25,2.5) = -16.307435699813773,69.98317771544811,13.493570858283977,46.350299353375874 etc
  2. =NORMALDISTRIBUTED(30,36,20.9) = -39.85074927994863,24.24627001288364,23.575289380647483,-20.639707171803707,-8.8266089980268 etc.

Related Videos

Normal Distribution

See Also

References