Independent and dependent events
Introduction to probability. Independent and dependent events. Compound events. Mutual exclusive events. Addition rule for probability.
Probability and combinatorics
Permutations and combinations. Using combinatorics to solve questions in probability.
23 7 2
Measures of central tendency and dispersion. Mean, median, mode, variance, and standard deviation.
13 1 1
Random variables and probability distributions
Random variables. Expected value. Probability distributions (both discrete and continuous). Binomial distribution. Poisson processes.
Fitting a line to points. Linear regression. R-squared.
Making inferences based on sample data. Confidence intervals. Margin of error. Hypothesis testing.