Characteristics of Normal Distribution
If we plot the normal distribution density function its curve has the following characteristics. The total area under the normal curve is equal to 1.
Statistics 101 A Tour Of The Normal Distribution
And depending on the method and sample size the methods may be ok even when the distribution is far from normal because of.
. Normal Distribution has the following characteristics that distinguish it from the other forms of probability representations. Google Distribution Curve Characteristics. The bell-shaped curve above has 100 mean and 1 standard deviation Mean is the center of the curve.
In a normal distribution 68 of the observations are confined within - one standard deviation 95 of the values fall within - two standard deviations and almost 997 of values are confined to. It is a continuous distribution. When that distribution is close to normal the methods should be fine.
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