STAT 322 - Inferential Statistics

3 Credits
This course introduces students to the advanced methods of data analysis. Particular focus will be given to techniques commonly used in the decision-making processes of those in management and marketing research, as well as those pursuing other careers requiring the interpretation of statistics-based research. Analysis of large, real-world data sets will be performed using statistical software.

Fees: Additional course fees apply.
Prerequisite(s): STAT 219 or STAT 220
Course Learning Outcomes:
1. Compare one-way, randomized blocks and two-way factorials.
2. Solve chi-square tests for goodness of fit and for independence in order to complete contingency table analysis.
3. Solve and interpret inference procedures appropriate for the analysis of two or more sets of qualitative variables.
4. Use simple or multiple linear regressions, together with appropriate inferential procedures, to model relationships between one numerical and one or more numerical or qualitative variables.
5. Apply the models developed from regression for prediction, forecasting and checking of assumptions.
6. Analyze time series data and develop the models for forecasting.
7. Apply the computerized statistics software Minitab.