In this video, we are going to study 3rd data distribution for continuous data i.e. ‘Normal Distribution’, with practical examples.
The normal distribution is the most common statistical distribution because approximate normality arises naturally in many physical, biological, and social measurement situations. Many statistical analyses require that the data come from normally distributed populations.
The normal distribution is also known as the Gaussian distribution. It is often called as ‘bell curve’ because the graph of its probability density resembles bell shape.
I have explained this distribution in further detailed regarding ‘Measures of Central Tendency and Dispersion’, ‘Formulas for calculating probability density function with practical example’ as well as ‘excel formula’ to evaluate it.
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