Preliminary course outline
Prerequisite: Math 107-108
Basic concepts of descriptive statistics. Probability, simulation, probability distributions. Introduction to inference.
1. History of statistics overview
2. Descriptive statistics (histograms, stem and leaf plot, boxplots, etc.; measures of central tendency and dispersion, correlation)
3. Probability (experiments, sample space, basic probability, conditional probability, independence, random variables, expected value)
4. Probability distributions and statistical inference (Counting techniques, binomial distribution, normal distribution, sampling distribution, central limit theorem, applications)