MATH 2133 — Introduction to Statistics
Sem: F/S/Su 3 Lec. Hrs./week Prerequisite: MATH 1213 Real World Math with a grade of “C” or better or MATH 1113 College Algebra with a grade of “C” or better. An algebra-based course involving the presentation and interpretation of data, probability, sampling, basic inference, correlation and regression, and analysis of variance, this course is generally needed for students majoring in business, education, health sciences, or social sciences. Course content includes probability, binomial and normal distributions, sampling, confidence intervals, hypothesis testing, and linear regression. Emphasis is placed on methods of collecting, organizing, and analyzing data in order to make data-driven decisions. Applications are integrated in all topics. This course incorporates the use of technology to supplement and enhance conceptual understanding, visualization, and inquiry. Mechatronics (See also Technical Core for basic courses shared by more than one technical program)