This course is concerned with the interaction of the science and art of statistics with our everyday lives emphasizing examples from the social and behavioral sciences. The student will not be required to learn mathematical formulas. Topics include the nature of statistics, uses and misuses of statistics, the scope and limitations of statistics, criteria by which published statistics maybe judged, interpretation of probability and the art of decision making.
Prerequisite: Completion of the mathematics basic skills requirement.
Introduction to descriptive statistics, normal distributions, linear correlation and regression, sampling, experiments, chance phenomena, one- and two-sample estimation and hypothesis testing, chi-square tests, and use of statistical software.
For EKU Students: Credit will not be awarded to students who have credit for COR 400 or CRJ 400 or ECO 220 or EPY 842 or HEA 450 or QMB 200 or STA 270. Gen. Ed. VII (QS).
Prerequisite: Completion of all developmental requirements.
Theoretical distributions, statistical estimation, and hypothesis testing. Introduction to simple linear regression and correlation. Introduction to categorical data analysis and ANOVA.
Prerequisite: MA 113, MA 123, MA 137 or equivalent.