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STAT 211 OL1

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Statistics: QR: Statistical Methods I

STAT 211 OL1 (CRN: 61561)

3 Credit Hours

About STAT 211 OL1

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

More Information

Section Description

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.

Section Expectation

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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