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Course Criteria
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0.00 Credits
Non-credit laboratory to accompany STAT 2300. Coreq: STAT 2300.
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3.00 Credits
Introductory probability and statistics for business students, particularly those who will take MGT 3100. Topics include descriptive statistics, probability, expectations, binomial, normal, sampling distributions, one and two sample estimation and testing. Preq: MATH 1060 or MATH 1070 or MATH 2070 or MATH 2100. Coreq: STAT 3091.
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0.00 Credits
Non-credit laboratory to accompany STAT 3090. Coreq: STAT 3090.
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3.00 Credits
Principle topics include collecting and summarizing data, probability distributions, analysis of categorical data, introduction to multiple linear regression, experimental design, analysis of variance, and non-parametric methods. Statistical computer software is used. Not open to students who have received credit for MATH 4020. Preq: MATH 3020 with a C or better or STAT 2300 with a C or better.
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3.00 Credits
Introduction to statistical computing packages. Topics include data importation, basic descriptive statistic computation, basic graphic preparation, and statistical analysis methods and procedures. Preq: IE 3610 or MATH 3020 or MGT 3100 or STAT 2300.
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3.00 Credits
Experimental design techniques for use in process development, application of screening experiments and response surface experiments, techniques for process control with implications for product quality control. Includes discussions of the use of statistical computer analyses and interpretations including computer-generated graphics. Preq: MATH 2060.
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3.00 Credits
Introduction to statistical computing packages. Topics include data importation, basic descriptive statistic computation, basic graphic preparation, and statistical analysis methods and procedures. Students are expected to have completed an introductory statistics course before enrolling in this course.
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3.00 Credits
Experimental design techniques for use in process development, application of screening experiments and response surface experiments, techniques for process control with implications for product quality control. Includes discussions of the use of statistical computer analyses and interpretations including computer-generated graphics. Students are expected to have completed a course in multivariable calculus before enrolling in this course.
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3.00 Credits
Role and application of statistics in research; estimation, test of significance, analysis of variance, multiple comparison techniques, basic designs, mean square expectations, variance components analysis, simple and multiple linear regression, and correlation, and nonparametric procedures.
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3.00 Credits
Extended coverage of several methods introduced in STAT 8010: multiple regression model building and diagnostics, experiment design and analysis, and nonparametric methods; mixed models and repeated measures analyses; categorical data analysis; multivariate methods and sampling designs; appropriate use of statistical software. Preq: STAT 8010.
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