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# What is normal distribution? What is hypothesis testing?

What is meant by the "normal distribution? What is its relevance in statistics?

Define the concept of hypothesis testings? Give an example of when you would use one in the workplace.

Explain the difference between a null and an alternative hypothesis.

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The response address the queries posted in 796 words with references.

// In this research paper, we will focus on the 'Concepts of Normal Distribution, Null and Alternative Hypothesis. We will also analyze their relevance in statistics. As we move ahead in this paper, we will try to differentiate between Null and Alternative Hypothesis with the help of certain examples. //

Normal Distribution

Normal Distribution is a form for the dispersion of a set of data which follows a bell shaped curve. The normal distribution curve generally appears in a form of statistical applications. When a distribution may not be exactly normal, it may still be convenient to assume that a normal distribution is a good approximation. The normal distribution has two parameters, the mean (mu) and the standard deviation (sigma). Once the parametric quantities are known, the distribution is completely specified. It is defined as a continuous frequency distribution of infinite range (Mathew, 2008).

The normal distribution arises in various areas of statistics. The sampling statistical distribution of the sample mean is approximately normal, even if the distribution of the population from which the sample is taken is not normal. The normal distribution maximizes the information randomness among all distributions with known mean and variance, which makes it the natural choice of underlying distribution for data, ...

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The response address the queries posted in 796 words with references.

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