This course is designed to expose students to the use of spreadsheet-based models and the scientific research process to support problem solving and decision making in a business environment. Basic statistical concepts will be reviewed, such as descriptive statistics, probability distributions, sampling distribution, inferences, hypotheses testing, Analysis of Variance (ANOVA), as well as simple linear regression analysis. Students will also gain hands-on experience in using statistical software (MegaStat) to assist in making effective decisions. Emphasis is on the acquisition, analysis, and interpretation of data to solve business problems. Case problems may be used to provide practical experience in data analysis and interpretation. Fall and Spring.
Fall 2019, Spring 2019, Spring 2018, Fall 2017