Summarize data with mean, median, mode, variance, and
standard deviation.
Understand chance, random events, and probability rules that
drive real-world decisions.
Explore normal, binomial, and other key probability distributions that
form the backbone of statistics.
Learn how surveys and experiments are designed, and
why sample size matters.
Test claims using p-values, z-scores, and t-tests to make
evidence-based conclusions.
Estimate unknown population values with precision and
reliability.
Discover how variables relate and predict outcomes with
linear regression.
Learn descriptive statistics, probability rules, distributions, and the principles of sampling and data collection.
Understand hypothesis testing, confidence intervals, correlation, and regression to make predictions and evidence-based decisions.
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