Jump to navigation Jump to search
- is the value for which distribution is evaluated.
- is the mean.
- is the standard deviation.
- 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.
- 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.