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.
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
The standard normal distribution, also called the z-distribution, is a special normal distribution where the mean is 0 and the standard deviation is 1. Every normal distribution is a version of the standard normal distribution that's been stretched or squeezed and moved horizontally right or left.
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
How it's Denoted N stands for normal and the tilde sign (~) shows it is a distribution. In brackets, we have the mean (μ) and the variance (σ2) of the distribution On the plane, you can notice that the highest point is located at the mean. This is because it coincides with the mode.
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