Which of the following is NOT a parameter when creating a distribution?

When creating a distribution, the parameters typically include values that define the range and behavior of that distribution. These parameters help establish the characteristics of the probability distribution being modeled.

The confidence level is relevant in terms of statistical inference, providing a measure of how certain one can be regarding the estimates made from the distribution. The minimum likely value and maximum likely value set the boundaries for the distribution, defining the range of potential outcomes.

The probability of success, however, is more associated with specific statistical scenarios, such as in Bernoulli trials or in binomial distributions, rather than being a general parameter for defining a distribution itself. In most contexts, when discussing distributions, we focus on parameters that define their shape and extent rather than specific probabilities of outcomes like success or failure. That’s why the probability of success does not fit as a general parameter for creating a distribution.