: Normal Distribution

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The normal distribution is widely used for parameter estimation Maximum Likelihood Estimation and the method of moments are commonly

normalization Properties of a normal distribution · The mean, mode and median are all equal · The curve is symmetric at the center · Exactly half A continuous random variable Z is said to be a standard normal random variable, shown as Z∼N, if its PDF is given by fZ=1√2πexp{− STANDARD NORMAL DISTRIBUTION: Table Values Represent AREA to the LEFT of the Z score Z 00 01 02 03 04 05 06 07 08 09 -

เบน ไวต์ Normal Distribution · Most of the values are around the center () · The median and mean are equal · It has only one mode · It is symmetric, meaning it