The document discusses key aspects of the normal distribution, also known as the Gaussian distribution. It notes that in a normal distribution, data near the mean is more frequent than data farther from the mean, and that it has a symmetrical bell curve shape when graphed. Additionally, it describes how a standard normal distribution refers to a normal distribution with a mean of 0 and standard deviation of 1, and that standard normal distribution tables are often used to represent areas under the normal curve.

1. Ghanshyam Joshi(GD)
joshigd365@gmail.com

2.  Normal Distribution, also known as the Gaussian
distribution, is a probability distribution that is
symmetric about the mean, showing that data near
the mean are more frequent in occurrence than data
far from the mean.
 In graph form, normal distribution will appear as a
bell curve.
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6.  A normal distribution with a mean of 0 and
a standard deviation of 1 is called a standard normal
distribution. Areas of the normal distribution are
often represented by tables of the standard normal
distribution.
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