Discover what a log-normal distribution is, its financial applications, and how to calculate it, including using Excel for practical financial analysis.

Measuring normal probability can be an aid in any type of situation in which you have uncertainty about the outcome. If currently using a distribution that does not fit the data, giving normal ...

A worst-case scenario includes values from the lower end of the probability distribution, the normal-case scenario includes mid-range values and the best-case scenario includes upper-range values.

The histogram, boxplot, and normal probability plot are three graphics that can be used when assessing the distribution of a set of data. Figure 2, left panel, shows a histogram of some typical ...

You can use the RAND () function to establish probability and create a random variable with normal distribution.

Since the point pattern is curved with slope increasing from left to right, a theoretical distribution that is skewed to the right, such as a lognormal distribution, should provide a better fit than ...

For a spherically symmetric multivariate normal random sample, the asymptotic distribution of the largest interpoint Euclidean distance is derived. The number of interpoint distances exceeding a high ...

In this article we review two historical approximations to the Poisson and binomial cumulative distribution functions (CDFs); that is, the Wilson—Hilferty and Camp—Paulson approximations. Both of ...

The term “platykurtic” refers to a statistical distribution with negative excess kurtosis. It has fewer extreme events than a normal distribution.