The aim of this course is to provide fundamental statistical concepts and tools relevant to the practice of summarizing, analyzing, and visualizing data. This course will build your knowledge of the fundamental principles of biostatistical inference. The course will focus on linear regression and generalized linear regression models. We will use a variety of examples and exercises from scientific, medical, and public health research.
Using a survey from the CDC, students will compare the percents of students involved in risk behaviors in their state and comparable states.They will discuss and defend their findings based on two different type graphs.
Here is the link to the new Passion-Driven Statistics e-book!
Github book https://bit.ly/PDSe-book
pdf version https://bit.ly/PDSpdf
Passion-Driven Statistics is an NSF-funded, multidisciplinary, project-based curriculum that supports students in conducting data-driven research, asking original questions, and communicating methods and results using the language of statistics. The curriculum supports students to work with existing data covering psychology, health, earth science, government, business, education, biology, ecology and more. From existing data, students are able to pose questions of personal interest and then use statistical software (e.g. SAS, R, Python, Stata, SPSS) to answer them. The e-book is presented in pdf format for ease of use across platforms.
For more information, contact Lisa Dierker, email@example.com or check out the Passion-Driven Statistics website at https://passiondrivenstatistics.com/