MATH2230 — Probability and Statistics
MATH 2230 - Probability and Statistics MATH 2230 - Probability and Statistics Catalog Description This is a calculus-based course in the study of probability and statistics. Topics include descriptive statistics, general probability, probability distributions, sampling, descriptive statistics, normal and binomial distributions, interval estimation and hypothesis testing, chi-squared and t-tests, two-sample inference, analysis of variance, correlation, and linear regression analysis. Students will also learn how to use a statistical software package. Concepts are introduced at more advanced level than in MATH 1114 . Recommended Skills, Abilities, or Coursework: Algebraic skills, including facility with exponential and logarithmic functions Facility with limits, derivatives, maximum/minimum problems Basic techniques of integration for finding areas beneath curves Minnesota Transfer Curriculum (MnTC) Goal Area(s) fulfilled: Goal 04: Mathematical/Logical Reasoning
Prerequisites: MATH1401