Introduction to the Practice of Statistics , Moore and McCabe, 2nd ed. Students learn how data are used to draw conclusions about populations and processes. The course treats several main topics.
Descriptive statistics provides the language for discussing data.
Statistical experimental design is the art and science of producing reliable statistical data. The course discusses the principle causes for bias in the collection of data and in the design of experiments, as well as the techniques available to avoid bias. This analysis involves the concepts of bias, controls, randomization, variability, and statistical significance. Probability analyzes randomness. Its use in statistical analysis allows for the quantification of statistical significance, accuracy, and confidence.