Fundamental concepts for data analysis and experimental design. Descriptive and inferential statistics, including classical and nonparametric methods, regression, correlation, and analysis of variance. Statistical software. Prerequisite: Minimum Junior standing or STAT 141 or STAT 143 and Instructor permission.
Dates: May 22 - June 30, 2023 Prereqs: STAT 141 or STAT 143; Minimum junior standing or instructor permission; Asynchronous online
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%.
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Note: These dates may change before registration begins.
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|STAT 143 OL1||Statistics: QR: Statistics for Engineering||to||N/A||See Notes||3||61556|
|STAT 151 OL1||Statistics: QR: Applied Probability||to||N/A||See Notes||3||61558|
|STAT 183 OL1||Statistics: QR:Basic Statistical Methods 2||to||N/A||See Notes||3||61559|
|STAT 187 OL1||Statistics: QR: Basics of Data Science||to||N/A||See Notes||3||61749|
|STAT 201 OL1||Statistics: QR:Stat Computing&Data Anlysis||to||N/A||See Notes||3||61560|
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