f X is a normal variable, we write X N( ; 2). The normal is important for many reasons: it is generated from the summation of independent random variab. es and as a result it occurs …

A normal random variable with μ = 0 and σ2 = 1 is said to have the standard normal distribution. Although there are infinitely many normal distributions, there is only one standard normal …

If we are given the area under the standard normal curve, we can search for the closest area found in Table V and look up the Z-score corresponding to this area.

Normal or Gaussian distribution is a symmetric distribution. Normal distribution has two parameters: mean (μ) the location parameter and standard deviation (σ), the spread parameter.

Some things are products of many independent variables (rather than sums), and in such cases the logarithm will be approximately normal since it is a sum of many independent variables

A frequently used normal distribution is called the Standard Normal distribution and is described in the section with that name. The binomial distribution can be approximated by a normal …

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