Statistical analysis for engineers and scientists: a computer-based approach

Probability - fundamental concepts and operational rules discrete random variables continuous random variables the mean, variance, expected value operator, and other functions of random variables classification and description of sample data sampling distributions - random sampling, the sample mean and sample variance, the central limit theorem point and interval estimates and the estimation of the mean and variance hypothesis tests about a single mean, a single proportion, or a single variance hypothesis testing for two means, two variances or two proportions fitting equations to data - simple linear regression analysis and curvilinear regression analysis, multivariate regression analysis hypothesis tests for two or more means - analysis of variance, single factor designs factorial analysis of variance an introduction to statistical quality control some additional methods of data analysis.