Math 3100

Course Description

Introduction to probability and statistical methods with applications to various disciplines. A study of some basic statistical distributions, sampling, testing of hypotheses, and estimation problems. Fall and spring semesters. Prerequisite: MATH 1920 or MATH 1960 with a minimum grade of C or department head approval. Credit not allowed in both MATH 3100 and 4100-4110. Standard letter grade.

Course Objectives

  • Ability to evaluate probabilities to solve applied problems.
  • Able to describe how statistics and statistical methods can be applied.
  • Use statistics to draw conclusions.


Beginning Statistics by Warren, Denley and Atchley (2nd Edition)


  • Introduction
  • Graphical Descriptions of Data
  • Numerical Descriptions of Data
  • Probability, Randomness and Uncertainty
  • Discrete Probability Distributions
  • Normal Probability Distributions
  • Central Limit Theorem
  • Confidence Intervals
  • Confidence Intervals of Two Samples
  • Hypothesis Testing
  • Hypothesis Testing Two or More Populations
  • Regression, Inference, and Model Building