Statistics flashcards
Statistics is deceptive: it looks like a math course, but most of what trips students up is vocabulary and decision-making — knowing which test applies, what each assumption means, and how to read a p-value or confidence interval correctly. You have to recall definitions (Type I vs Type II error, parameter vs statistic), the conditions for each procedure, and a stack of formulas, often under time pressure. Active recall forces you to retrieve "when do I use a t-test vs a z-test?" instead of recognizing it on a page, and the testing effect makes each retrieval stick. Spaced repetition then keeps the easily-confused pairs — correlation vs causation, standard deviation vs standard error — from collapsing into each other before the exam.
Cram builds your statistics deck from your own material in seconds. Paste your notes, drop in a chapter PDF or a problem set, share a link, or type a topic like "hypothesis testing" or "the central limit theorem," and the AI writes clean question-and-answer cards — term to definition, scenario to correct test, formula to when you use it. Spaced repetition schedules each card for right before you'd forget it, an exam countdown paces your review toward test day, and the whole deck works offline with no ads and no daily lockouts.
What to drill in Statistics
- Descriptive statistics: mean, median, variance, and standard deviation
- Probability rules and common distributions (normal, binomial)
- The sampling distribution and the central limit theorem
- Hypothesis testing: null vs alternative, p-values, and significance
- Choosing the right test (t-test, z-test, chi-square, ANOVA)
- Confidence intervals, correlation, and regression basics
How Cram helps
Cards built for you
Add your statistics notes or a PDF and AI writes the deck in seconds.
Spaced repetition
Each card returns right before you'd forget it, for durable recall.
Built from your material
Cards come from your own course content — not a stranger's set.