This course focuses on experimental design and applied statistical methods for data analysis. Students will learn how to design and interpret experiments considering multiple variables, avoiding ...

Key Points The Plackett-Burman design method is one of the most useful tools when you don’t have all the data available for ...

Statistical analysis is a vital component of improving workflows in a given project. To make the most of your data analysis, ...

We will discuss your data, experimental design, and research questions so we can provide you a data analysis plan. After your data is analyzed, we will help with the interpretation of results so that ...

What Administrators Don’t Get About Data For campus leaders, too much information is part of the job. Here’s how to get better at collecting and using it.

In this module, we will introduce the basic conceptual framework for experimental design and define the models that will allow us to answer meaningful questions about the differences between group ...

Description Methods for design and analysis of experiments provided in three course modules: (1) descriptive and inferential statistics for hypothesis testing: (2) analysis of variance and linear ...

This how-to workshop focuses on understanding the fundamental elements of experimental design and how to apply experimental design to solve real problems. A statistical software package, Minitab®, is ...