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MATH 215.01 Introduction to Statistics 6 credits

Closed: Size: 32, Registered: 32, Waitlist: 0

CMC 210

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 51359

Adam Loy

Introduction to statistics and data analysis. Practical aspects of statistics, including extensive use of statistical software, interpretation and communication of results, will be emphasized. Topics include: exploratory data analysis, correlation and linear regression, design of experiments, basic probability, the normal distribution, randomization approach to inference, sampling distributions, estimation, hypothesis testing, and two-way tables. Students who have received credit for Mathematics 115 may petition the department to seek approval to register for Mathematics 215. Students who have taken Mathematics 211 are encouraged to consider the more advanced Mathematics 265-275 Probability-Statistics sequence.

Prerequisite: Not open to students who have already received credit for Math 115, Psychology 200/201, Sociology/Anthropology 239 or Math 275.

MATH 315.00 Topics Probability/Statistics: Bayesian Statistics 6 credits

Closed: Size: 23, Registered: 25, Waitlist: 0

CMC 301

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 50922

Adam Loy

An introduction to statistical inference and modeling in the Bayesian paradigm. Topics include Bayes' Theorem, common prior and posterior distributions, hierarchical models, Markov chain Monte Carlo methods (e.g., the Metropolis-Hastings algorithm and Gibbs sampler) and model adequacy and posterior predictive checks. The course uses R extensively for simulations.

Prerequisite: Mathematics 275

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Requirements
You must take 6 credits of each of these.
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You must take 6 credits of each of these,
except Quantitative Reasoning, which requires 3 courses.
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