Statistics for the Behavioral Scientist
This course builds on the research methodology foundation introduced in MTH-510 and MTH-550 with an emphasis on quantitative data analysis, statistical testing, and interpreting research results. Students learn procedures for categorizing, organizing, coding, and cleaning data. Additionally, they learn how to best present their data through visual displays such as tables and graphs. They also learn how to compute, interpret and present both descriptive statistics about their sample and inferential statistics to generalize to the population of interest. These statistics are explained both computationally as well as theoretically. Students learn basic probability theory and its connection to hypothesis testing. The course also examines how to evaluate research critically for potential artifacts and the process of meta analysis for quantitatively synthesizing other research studies. Students have hands-on practical experience using SPSS student software to analyze real data throughout the course.