MATS 1251 - Statistics
4 Credits
Placement Level Introductory College Level Placement
Fundamental principles of inferential statistics are presented in lecture augmented by computer labs using Excel. Essential topics include sampling methods; descriptive statistics; counting and probability; poisson, binomial, normal and other probability distributions; confidence intervals; hypothesis testing; inferences from two samples; correlation and regression. Optional topics include goodness-of-fit and contingency tables; ANOVA; nonparametric; and statistical process control.
Learning Outcomes
Construct confidence interval estimates of proportion, mean, and standard deviation, interpreting results Generate and interpret a wide variety of descriptive statistics and charts. Use Excel to calculate experimental probabilities, work with probability distributions, generate confidence intervals, conduct hypothesis tests, and perform correlation and regression analyses Understand and work with fundamental probability distributions such as Poisson, binomial, uniform, and normal. Perform one- and two-population hypothesis tests for proportion, mean (including matched pairs), and standard deviation, interpreting results. Work with basic concepts of probability, including conditional probability, complements, compound events and Bayes? Theorem.
Minnesota Transfer Curriculum (MNTC) Goals
04 - Mathematical/Logical Reasoning
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