This course begins with descriptive statistics, including graphical representation of data and measures of central tendency, position and variation. Basic probability concepts lead to the study of the binomial and normal probability distributions. The course continues with the Central Limit Theorem and its use in the development of estimation through confidence intervals and hypothesis testing. The course concludes with Chi Square tests and linear correlation and regression. Computer software will be used in class to gain a greater understanding of underlying concepts.
Prerequisite: MATH 021 or MATH 025 or satisfactory completion of the College’s basic skills requirement in algebra. Please note that in-person testing is required.