This course will be an online 6-week course with no synchronous meeting times. STAT 211 introduces students to the discipline of statistics as a science of understanding and analyzing data. Students learn how to collect and analyze data to make inferences and conclusions about real world phenomena. The learning goals are: • Recognize the importance of data collection and how the methods used to collect data affect the scope of the inference that can be made. • Summarize data effectively using numerical summaries, graphical methods and appropriate statistical language. • Calculate probabilities of events using basic rules of probability and common distributions such as binomial and normal distributions. • Apply appropriate estimation and testing methods to understand natural phenomena and make data-based decisions. • Build basic regression models to describe relationships between variables. • Interpret statistical results correctly, effectively, and in context. • Critique data-based claims and evaluate data-based decisions. • Use R to perform basic statistical analyses with clean datasets.

Due to the compressed timeline of a six-week course, students should expect to spend approximately 20 hours per week on this class. Students who take STAT 211 for graduate credit will complete a final project in addition to completing all of the work that is required for undergraduate credit.

For undergraduates, grades will be determined based on a weighted average calculated with the weights as follows: • R Labs 15% • Homework 20% • Yellowdig 5% • Tests 60% Students taking the course for graduate credit will complete a final project that is not required for undergraduates. For graduate students, grades will be determined as follows: R labs 10%, Homework 10%, Yellowdig 5%, Tests 60%, Final Project 15%.