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Course Criteria
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3.00 Credits
Introduction to statistical methodology, emphasizing applications in engineering. Topics include descriptive and inferential statistics, least squares curve fitting, correlation, and analysis of variance. Prerequisites & Corequisites: Prerequisites: MATH 1220 and a course in the use of computers. Cross-listed with IME 2610. Credits: 3 hours
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3.00 Credits
Introduction to probability emphasizing applications in engineering. Use of discrete and continuous random variables common to engineering problems. Random processes used in engineering models. Prerequisites & Corequisites: Corequisite: MATH 2610. Cross-listed with IME 2620. Credits: 3 hours
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3.00 Credits
A course in statistical computation using the Excel software. Topics will include data management and manipulation, numerous types of graphical presentation, descriptive statistics for one and several variables, categorical variables and tables, multiple analyses, macro programming, and simulations. Excel results to be organized in high quality reports and presented on the web. Prerequisites & Corequisites: Prerequisite: MATH 110 or satisfactory score on the mathematics department placement exam. Students cannot receive credit for both STAT 3030 and STAT 5030. Credits: 3 hours
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4.00 Credits
Discrete probability spaces, conditional probability, discrete and continuous random variables, expectations, joint distributions, special distributions. Prerequisites & Corequisites: Prerequisite: MATH 1230. Credits: 4 hours
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4.00 Credits
This course treats both the theory and applications of statistics. Topics include: empirical distributions, discrete probability, random variables and probability distributions, special distributions, the central limit theorem, sampling distributions, point and interval estimation, hypothesis testing, analysis of variance, correlation and regression, the design of experiments. Students can receive credit for only one of STAT 2160, 2600, 3640, or 3660. Prerequisites & Corequisites: Prerequisite: MATH 1230. Credits: 4 hours
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4.00 Credits
An introduction to statistics for students in the biological and related sciences with an emphasis on the basic concepts and explanations of why things work. The focus is on quantitative reasoning and statistical thinking for making decisions and conjectures. This numerical art will be illustrated with a wide range of interesting problems. Topics include descriptive statistics like means, medians, standard deviation, percentiles; correlation and regression interpretation and prediction problems; the normal and binomial distributions; law of averages; sampling variability and standard errors; inferential statistics to -confidence intervals and tests of hypotheses for one- and two-sample problems. Students can receive credit for only one of STAT 2160, 2600, 3640, or 3660. Prerequisites & Corequisites: Prerequisite: MATH 1100 or the equivalent or satisfactory score on the departmental placement exam. Credits: 4 hours
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1.00 Credits
An undergraduate course on the practice of statistical consulting in industry. This course will consider both the statistical and the nonstatistical aspects of consulting: statistical modeling, statistical judgment, quality improvement technology, the psychology of consulting, the importance of communication and the entrepreneurial role. Students will work in groups to solve problems arising with real data or with class experiments. Prerequisites & Corequisites: Prerequisite: At least one of STAT 5630, 5660, 5670, or 5680. Credits: 1 hour
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3.00 Credits
Topics to be included are multivariate probability distributions, sampling distributions, asymptotic theory, theory of estimation, and likelihood ratio tests. Prerequisites & Corequisites: Prerequisites: MATH 2300 and 2720; STAT 3620 and 3640. Credits: 3 hours
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3.00 Credits
This course provides an introduction to the use of statistical computer software in the MINITAB, SAS, SPSSX, and BMDP packages with particular emphasis on SAS and MINITAB. The statistical graphics capabilities of SASGRAPH and MINITAB will also be included. The following topics may be emphasized: data entry; editing; production of statistical summaries in the form of tables, graphs, charts, and plots for report writing purposes; data management methods for large survey-type data sets. The latter topic may include: subset analysis, updating, and missing data methods. Attention may also be given to the statistical topics of: correlation and regression analysis; one and two sample problems; and analysis of variance. Prerequisites & Corequisites: Prerequisite: An introductory statistics course. Credits: 3 hours
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3.00 Credits
The emphasis of the class will be the reporting of statistical analysis so that all relevant information is conveyed, avoiding the use of jargon and enhancing the text with the use of informative tables or graphics. Examples of statistical reports will be examined and discussed. Students will be assigned projects involving data gathering and analysis. Written and oral reports on the methodology used and the results of the analysis will be required of each student. Student reports will then be discussed and critiqued by the class for content and clarity of writing as well as appropriateness of the methodology used. This course is approved as a writing intensive course which may fulfill the baccalaureate-level writing requirement of the student's curriculum. Prerequisites & Corequisites: Prerequisites: STAT 3620, 3640, 4640, and approval of instructor. Credits: 3 hours
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