Practice today
Ten mixed questions. Missed skills come back until they stick.
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Describing data
Shape, center and spread, box plots, z-scores, the normal model
Two-variable data
Two-way tables, scatterplots, correlation, the line of best fit
Collecting data
Samples, bias, observational studies and experiments
Probability
Rules of probability, conditional probability, independence
Random variables
Expected value, binomial and geometric distributions
Sampling distributions
How sample proportions and means vary
Confidence intervals
Estimating a proportion or a mean with a margin of error
Significance tests
Hypotheses, p-values, errors, tests for proportions and means
Chi-square and regression inference
Goodness of fit, independence, inference for a slope