Difference between revisions of "Manuals/calci/NORMALDISTRIBUTED"
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− | normal | + | <div style="font-size:30px">'''NORMALDISTRIBUTED(x,m,sd)'''</div><br/> |
+ | *<math>x</math> is the value for which distribution is evaluated. | ||
+ | *<math>m </math> is the mean. | ||
+ | *<math>sd</math> 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 : | ||
+ | <math>f(x,\mu,\sigma)=\frac {1}{\sigma\sqrt{2\pi}} e^{\frac{-(x-\mu)^2}{2\sigma^2}}</math> | ||
+ | where <math>\mu</math> is the mean and <math>\sigma</math> is the standard deviaton of the distribution. | ||
+ | |||
+ | ==Examples== | ||
+ | #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. | ||
+ | |||
+ | ==See Also== | ||
+ | *[[Manuals/calci/NORMDIST | NORMDIST ]] | ||
+ | *[[Manuals/calci/NORMSDIST | NORMSDIST ]] | ||
+ | *[[Manuals/calci/NORMINV | NORMINV ]] | ||
+ | |||
+ | ==References== | ||
+ | *[http://stattrek.com/probability-distributions/normal.aspx Normal Distribution] |
Revision as of 14:45, 14 December 2016
NORMALDISTRIBUTED(x,m,sd)
- 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
- 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.