Lognormal - Use when the logarithm of the random variable is normally distributed.
Gamma - Use to model positive data values that are skewed to the right.
Exponential - Use to model the time between events in a homogeneous Poisson process.
Smallest extreme value - Use to model data values that are skewed to the left. The smallest extreme value distribution is the distribution of the minimum of a large number of random variables from a specific group of distributions. It's often used to model the logarithm of failure times.
Weibull - Usually used to describe failure distributions. It can also be used to model the minimum of a large number of positive random variables from a specific group of distributions.
Largest extreme value - Use to model data values that are skewed to the right. It's usually used to describe the maximum of a large number of random variables from a specific group of distributions.
Logistic - Use to model distributions that have a similar shape to the normal distribution, but with longer tails.
Loglogistic - Use when the logarithm of the variable is logistically distributed.
Assume none - Use when you are not willing to make any assumption about the population of your data. Minitab only displays results for the nonparametric method. However, a large sample is usually required for the result to be accurate.
In Minimum percentage of population in interval, enter the minimum percentage of the population that you want a two-sided tolerance interval to include, or a one-sided lower limit to be less than or a one-sided upper limit to be greater than.
In this worksheet, Brightness contains the sample data.