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Course Criteria
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3.00 Credits
This course focuses on curriculum, development and teaching strategies for the gifted. Credits: 3
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2.00 - 3.00 Credits
This course focuses on the nature of creativity and assessment of creativity. Credits: (2-3)
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1.00 Credits
An overview of SAS Programming with an emphasis on getting data into data sets, manipulating the data sets and using some of the more simple procedures SAS already employs to modify and display data. Credits: 1
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3.00 Credits
A study of descriptive statistics including graphs, measures of central tendency and variability and an introduction to probability theory, sampling and techniques of statistical inference with an emphasis on statistical applications. Credits: 3 Prerequisites: P, MATH 102 or 115 or 120 or 121 or 123 or 125.
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3.00 Credits
Introduction to probability theory, discrete and continuous distributions, sampling distributions and the Central Limit Theorem with general principles for statistical inference and applications of random sampling to hypothesis testing, confidence limits, and regression. Credits: 3 Prerequisites: P, MATH 125. Cross-Listed: MATH 381
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2.00 Credits
Base SAS language and procedures for reading and manipulating data, and producing graphs, reports, and basic statistical analyses. An introduction to ODS, SAS/STAT, SAS/GRAPH, SAS certification, and menu-driven interfaces. Credits: 2
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2.00 Credits
A continuation of STAT 410-510, including SAS/STAT, SAS Macro, IML, and projects in data stimulation. Credits: 2 Prerequisites: P, STAT 410 or STAT 510.
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3.00 Credits
An introductory/Review course in probability and statistics for graduates students or students preparing for graduate school. Includes topics such as discrete probability, discrete and continuous random variables, sampling, confidence intervals and hypothesis tests, including Chi-Square and F tests. Credits: 3 Prerequisites: P, MATH 102.
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3.00 Credits
Analysis of variance, various types of regression, and other statistical techniques and distributions. Credits: 3 Prerequisites: P, STAT 281, or MATH/STAT 381
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3.00 Credits
Data interpretation, hypothesis testing and modeling with analysis of variance and regression. Credits: 3 Prerequisites: P, STAT 281, 381, or MATH 381.
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