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Course
Information
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| Elementary
Statistics Data analysis, probability, and statistical inference. For students in any field where statistics is a means of communication and a tool for decision making. |
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| Probability
and Statistics with Computing Basic concepts of probability and statistics. Data analysis, probability distributions, confidence intervals, and hypothesis testing. Students use computer software to do statistical analyses. |
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| Math 340 | Introduction
to Probability Probability spaces, elementary combinatorics, random variables, independence, expected values, moment generating functions, selected probability distributions, limit theorems and applications. |
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| Math 441 | Mathematical
Statistics Continuation of MATH 340. Sampling distributions, estimation of parameters, hypothesis testing, goodness-of-fit tests, linear regression, and selected non-parametric methods. |
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| Math 338 | Introduction
to SAS SAS (Statistical Analysis System) software for statistical analysis of data, data access, data management, and data presentation. Capabilities of SAS. |
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| Math 890 | Advanced
SAS Programming SAS data steps. SAS procedure steps. Macro language in SAS. Applied multivariate statistics, regression, analysis of variance, analysis of covariance, categorical data analysis with SAS. |
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| Math 899 | Special Study | ||