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**Answer**

**Characteristics of a Normal Distribution**

- A
**normal distribution**comes with a perfectly**symmetrical shape**. This means the curve can be divided into two equal halves. - The middle point of a normal distribution is the point with the maximum frequency, which means that it possesses the most observations of the variable. The
**midpoints of the distribution curve happens to be the point where the mean, median, and mode lie.** - The normal distribution is usually u
**nimodal, and asymptotic.**Unimodal distribution is a probability distribution which has a single peak. A probability distribution that is the "limiting" distribution of a set of distributions is known as an asymptotic distribution. **Skewness and kurtosis**are coefficients that measure how different a distribution is from a normal distribution. Skewness measures the**symmetry**of a normal distribution while kurtosis measures the**thickness of the tail ends**relative to the tails of a normal distribution

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