Liz Karns is an epidemiologist and lawyer. Her research interests involve worker health and safety, ethical responsibilities in the conduct of data analysis, and the economic consequences of sexual assault and harassment. Her practice has ranged from individual juvenile clients to large multinational corporations. She is interested in fostering an intellectual environment for students that integrates science, law, and societal needs.
In this course, you will practice making informed decisions based on statistical results. You will be introduced to the techniques you will use to view statistical tests critically and recognize the limitations of statistical conclusions. Next, you will examine statistical reports in order to identify the underlying research question. You will then use these insights to compare tests and rate their validity. Finally, you will prepare a report for stakeholders, providing recommendations based on your interpretation of statistical results.
It is recommended to only take this course if you have completed Interpreting and Communicating Data or have equivalent experience.
Choosing the most appropriate statistical test to answer your research questions will affect every aspect of your report. This course will focus on identifying the right test for your question. You will explore the relationship between the data set and the results obtained through statistical tests. You will practice writing a memo to your data analyst specifying the appropriate statistical test to answer your question. In selecting your testing methods, you will also consider the ethical implications of the test results.
It is recommended to only take this course if you have completed Interpreting and Communicating Data and Using Statistical Test to Make Decisions or have equivalent experience.
Making statistical predictions based on real-world data is complex and requires a more rigorous statistical model. In this course, you will learn to apply multivariate regression statistical models to make predictions. First, you will identify the variables that best explain your results and define the relationships between dependent and independent variables. You will then practice identifying and interpreting the results of a multiple regression model and making predictions based on that model.
It is recommended to only take this course if you have completed Interpreting and Communicating Data, Using Statistical Test to Make Decisions, and Applying Statistical Tests or have equivalent experience.