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What do you understand by the term Normal Distribution?

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Data is usually distributed in different ways with a bias to the left or to the right or it can all be jumbled up.

However, there are chances that data is distributed around a central value without any bias to the left or right and reaches normal distribution in the form of a bell-shaped curve.


Figure: Normal distribution in a bell curve

The random variables are distributed in the form of a symmetrical, bell-shaped curve.

Properties of Normal Distribution are as follows;

1. Unimodal -one mode

2. Symmetrical -left and right halves are mirror images

3. Bell-shaped -maximum height (mode) at the mean

4. Mean, Mode, and Median are all located in the center

5. Asymptotic

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