Continuous Uniform Distribution

Build practical skill in continuous uniform distribution. This 15-question practice set combines single-select and multiselect exercises, worked calculations, explanations of distractors, and diagnostic challenges. Prerequisites: Continuous distributions and CDF transformations. Practice includes interpret uniform density and support; compute interval and conditional probabilities; calculate mean, variance and percentiles; recover endpoints and transform variables; apply the continuous probability integral transform; diagnose arrival assumptions and nonuniform transformations. Questions are independently answerable; the authored learning sequence moves from foundations to applications and assumption checks. Reference methods draw on OpenStax, university probability teaching, and NIST where appropriate.