Common probability distributions
Compare distribution conditions, shapes, and parameters and interpret them in context.
Meaning
A probability distribution specifies the possible values of a random variable and their probabilities. A binomial distribution counts successes in independent trials with the same success probability. A normal distribution is continuous and symmetric about its mean.
Example
Practice for this concept
Scope and references
Topics
Discrete and continuous distributions, binomial and normal distributions
Learning goal
Compare distribution conditions, shapes, and parameters and interpret them in context.
Helpful background
Review random variables, expected values, and variances as needed.
Common probability distributions
These choice exercises calculate or judge specified finite data, trials, or assumptions. They do not establish data collection, written inference, model validation, or mastery of the whole statistics area.