MATH 132 - Introduction to Statistics
An introductory course covering the collection and analysis of data for decision-making purposes. Topics to be covered include descriptive statistics, creation and interpretation of different graphical displays of data, measures of central tendency and dispersion, probability, sampling distributions, estimation, hypothesis testing, and regression and correlation. Technology will be used extensively throughout the course. Communication of statistics is also emphasized.
Clock Hours - (Lect-Lab): (3-0)
Prerequisites: Computed STAT Placement Score 132 OR concurrent enrollment in MATH 102
Term Offered: Every Fall, Every Spring
This course was approved for gtPathways as of publication date. Changes can be made to approved gtPathways courses at any time; they are not catalog specific. The most accurate listing of courses approved for gtPathways can be found by searching by attribute on the schedule on WebOPUS.
Click here for Fall 2019 course scheduling information.
Click here for Spring 2020 course scheduling information.