This course focuses on statistical techniques useful in modeling and forecasting data. Simple linear regression models. Multiple regression, including model disgnostic procedures, and model selection and validation. Analysis of time series data, including Box-Jenkins techniques. Use of computer software packages in data analysis.
Emphasis is on real-world applications.
This course focuses on planning large-scale statistical studies and analyzing the resulting data. Analysis of variance, including factorial experiments. Focus will be on analysis of large real-world data sets, using a major statistical software package. This course presents the basic managerial and technical issues that are important to understand, implement and manage quality in business. Case studies will be used.