A study of the collection, analysis and interpretation of numerical data. Topics covered are probability spaces, conditional probability, random variables both continuous and discrete, Binomial, Normal, Poisson, Student’s t and Chi-square distributions, expectations, sampling distributions, estimation, tests of significance, regression analysis, and design of experiments. Includes lab time to emphasize the use of computer software for statistics. This course meets 4 hours a week.
Statistics (MAT‑215)