SL 4.2—Histograms, CF graphs, box plots Bootcamps

SL 4.1—Concepts, reliability and sampling techniques

SL 4.3—Mean, median, mode. Mean of grouped data, standard deviation. Quartiles, IQR

SL 4.4—Pearsons, scatter diagrams, eqn of y on x

SL 4.5—Probability concepts, expected numbers

SL 4.6—Combined, mutually exclusive, conditional, independence, prob diagrams

SL 4.7—Discrete random variables

SL 4.8—Binomial distribution

SL 4.9—Normal distribution and calculations

SL 4.10—X on y regression line

SL 4.11—Conditional and independent probabilities, test for independence

SL 4.12—Z values, inverse normal to find mean and standard deviation

AHL 4.13—Bayes theorem

AHL 4.14—Properties of discrete and continuous random variables