Explain the term ‘Normal Distribution’. What is its significance? Explain its characteristics.

Normal Distribution:

A normal distribution, also known as a Gaussian distribution, is a fundamental statistical concept that describes the probability distribution of a continuous random variable. In a normal distribution, the data is symmetrically distributed around a central mean value, creating a characteristic bell-shaped curve. The shape of the curve is determined by two parameters: the mean (μ) and the standard deviation (σ), which influence the center and spread of the distribution, respectively.

Significance of Normal Distribution:

The normal distribution is of significant importance in statistics and various fields for several reasons:

1. Common Occurrence: Many real-world phenomena follow a normal distribution, such as heights and weights of individuals, test scores, errors in measurements, _____ ____ ______ ______ ______ _____.
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