Properties of the Normal Distribution The Empirical Rule. For all normal distributions, 68.2% of the observations will appear within plus or minus one Skewness. Skewness measures the degree of symmetry of a distribution. The normal distribution is symmetric and has a Kurtosis. Kurtosis A bell-shaped curve, also known as a normal distribution or Gaussian distribution, is a symmetrical probability distribution in statistics. It represents a graph where the data clusters around the mean, with the highest frequency in the center, and decreases gradually towards the tails. Properties of normal distribution The normal distribution is an important probability distribution used in statistics. Many real world examples of data are normally distributed. Normal Distribution The normal distribution is described by the mean ( μ) and the standard deviation ( σ ). The normal distribution is often referred to as a 'bell curve' because of it's shape: Normal distribution, the most common distribution function for independent, randomly generated variables. Its familiar bell-shaped curve is ubiquitous in statistical reports, from survey analysis and quality control to resource allocation. Learn more about normal distribution in this article. The normal distributions are closely associated with many things such as: Marks scored on the test Heights of different persons Size of objects produced by the machine Blood pressure and so on. KYnR.

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