Introduction -- Getting started with business statistics. The art and science of business statistics ; Pictures tell the story: graphical representations of data ; Finding a happy medium: identifying the center of a data set ; Seraching high and low: measuring variation in a data set ; Measuring how data sets are related to each other -- Probability theory and probability distributions. Probability theory: measuring the likelihood of events ; Probability distributions and random variables ; The binomial, geometric, and poisson distributions ; The uniform and normal distributions: so many possibilities! ; Sampling techniques and distributions -- Drawing conclusions from samples. Confidence intervals and the student's t-distribution ; Testing hypotheses about the population mean ; Testing hypotheses about multiple population means ; Testing hypotheses about the population mean -- More advanced techniques: regression analysis and forecasting. Simple regression analysis ; Multiple regression analysis: two or more independent variables ; Forecasting techniques: looking into the future -- The part of tens. Ten common errors that arise in statistical analysis ; Ten key categories of formulas for business statistics.