MAT260 — Applied Probability and Statistics
MAT 260 - Applied Probability and Statistics MAT 260 - Applied Probability and Statistics Descriptive statistics, probability and random variables, discrete and continuous probability distributions, joint distributions, sampling distributions, confidence interval estimates, hypothesis tests on means, categorical populations, and the form of distributions, linear regression analysis on bivariate and multivariate data, and single factor ANOVA, all with a strong emphasis on engineering applications and the use of statistical software to simulate, model, and analyze data. Use density functions and probability distributions to analyze and describe random variables and distributions. Use statistical software and/or simulations to organize, describe, and analyze distributions and data sets. Construct and interpret appropriate confidence intervals. Locate information effectively using tools appropriate to Mathematics. Evaluate information from a variety of sources with an awareness of authority, validity, bias, and origin. Demonstrate an understanding of the ethical dimensions of information use, creation, and dissemination, whether from traditional sources or emerging technologies, such as artificial intelligence.