2018-19 Academic Catalog [ARCHIVED CATALOG]
Course Descriptions
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For schedule and detailed course information, including schedule types, please see the Class Schedule and Course Descriptions webpage.
Schedule Type Classifications
The delivery of instruction often requires educational material to be organized and presented to students in a variety of ways. In order to facilitate the planning for and scheduling of classes to accommodate these multiple types of instruction, it is necessary to divide courses into organizational parts which reflect the unique combinations of instructors, meeting places, and time patterns used to conduct the instruction. The schedule types listed below are intended to reflect the nature of activities required of students, the relationship between students and their instructors, and the settings required to deliver the content of an instructional offering.
- LEC — Lecture
- LAB — Laboratory
- DIS — Distance Education
- CLN — Clinic
- EX — Experiential
- IND — Individual Study
- SD — Studio
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STAT 11300 - Statistics And Society
Credit Hours: 3.00. Introduction to statistical ideas and their impact on public policy and the sciences. Sample surveys, design of experiments, measurement, analysis of data, simulating probabilities, concepts of inference. Application to current issues and controversies. Not available for credit toward graduation in the School of Science. Typically offered Summer Fall Spring.
General Education: Quantitative Reasoning
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STAT 13000 - Statistics And Contemporary Life
Credit Hours: 3.00. Introduction to statistical ideas and their impact on various aspects of modern life. Topics will include the organization, manipulation, and understanding of numerical data, the art of data presentation, interpretation of statistical information as presented in the media, the concept of randomness in gambling and lotteries, and some discusson of statistical fallacies. Typically offered Fall Spring Summer.
General Education: Quantitative Reasoning
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STAT 21300 - Problem And Decision Theory
Prerequisite(s): MA 15200 FOR LEVEL UG WITH MIN. GRADE OF D- OR MA 15300 FOR LEVEL UG WITH MIN. GRADE OF D-
Credit Hours: 3.00. Basic set theory, elementary probability theory, discrete probability models, finite Markov chains. Applications to problems in the management and social sciences. Typically offered Fall Spring.
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STAT 22500 - Introduction To Probability Models
Prerequisite(s): MA 22400 FOR LEVEL UG WITH MIN. GRADE OF D-
Credit Hours: 3.00. An introduction to basic probability. Emphasis is placed on formulation of models and applications. Probability calculus, standard distributions, random variables, and moments. Credit cannot be given for more than one of STAT 22500, 31100, or 41600. Typically offered Summer Fall Spring.
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STAT 30100 - Elementary Statistical Methods
Prerequisite(s): MA 14700 FOR LEVEL UG WITH MIN. GRADE OF C OR MA 15200 FOR LEVEL UG WITH MIN. GRADE OF C OR MA 15300 FOR LEVEL UG WITH MIN. GRADE OF C OR MA 21300 FOR LEVEL UG WITH MIN. GRADE OF C
Credit Hours: 3.00. A basic introductory statistics course with applications in various fields and emphasis placed on assumptions, applicability, and interpretation of various statistical techniques. Subject matter includes frequency distributions, descriptive statistics, elementary probability, normal distribution applications, sampling distribution, estimation, hypothesis testing, linear regression. Typically offered Summer Fall Spring
General Education: Quantitative Reasoning
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STAT 30200 - Elementary Statistical Methods II
Prerequisite(s): STAT 30100 FOR LEVEL UG WITH MIN. GRADE OF C
Credit Hours: 3.00. Continuation of STAT 30100 Multiple regression and analysis of variance, with emphasis on statistical inference and applications to various fields. Typically offered Fall Spring Summer.
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STAT 31000 - Health Care Statistics
Credit Hours: 3.00. Designed for nursing and health studies students. This introductory statistics course focuses on quantitative research design, methods and analyses used in health-care research. The students will be introduced to basic techniques of data organization and will be familiar with the common statistical analysis techniques encountered in nursing research literature. Topics include: healthcare statistical terminology, descriptive statistics, probability, correlation, regression, hypothesis testing and model building. Selected nonparametric techniques will be discussed. Typically offered Fall Spring Summer.
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STAT 31100 - Introductory Probability
Prerequisite(s): MA 16200 FOR LEVEL UG WITH MIN. GRADE OF C OR MA 16900 FOR LEVEL UG WITH MIN. GRADE OF C OR MA 22400 FOR LEVEL UG WITH MIN. GRADE OF B
Credit Hours: 3.00. Formulation of probability problems, discrete and continuous random variables, expectation, standard distributions, applications to statistical problems, and problems in the physical sciences. Credit cannot be given for more than one of STAT 22500, 31100, or 41600. Prerequisite: two semesters of college calculus. Typically offered Spring.
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STAT 33001 - Biostatistics
Credit Hours: 3.00. This course covers the fundamental concepts of statistical methods and their application to biology. The following topics will be included: experimental and sampling designs; descriptive statistics; basic probability or probability distribution; test of hypothesis; one-way analysis of variance; linear regression. Emphasis will be placed on the collection, organization, analysis and interpretation of data from biological experiments and observations. Typically offered Fall Spring Summer.
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STAT 34500 - Statistics
Prerequisite(s): MA 16400 FOR LEVEL UG WITH MIN. GRADE OF C-
Credit Hours: 3.00. Topics from exploratory data analysis and inferential statistics will be covered, along with a necessary introduction to probability. Statistical and probabilistic simulations will be used to enhance students’ understanding of randomness and variation. Extensive use of a statistical computer package will be required. Typically offered Fall Spring Summer.
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STAT 35000 - Introduction To Statistics
Prerequisite(s): STAT 31100 FOR LEVEL UG WITH MIN. GRADE OF C
Credit Hours: 3.00. A data-oriented introduction to the fundamental concepts and methods of applied statistics. Exploratory analysis of data. Sample design and experimental design. Probability distributions and simulation. Sampling distributions. The reasoning of statistical inference. Confidence intervals and tests for one and two samples. Inference for contingency tables, regression, and correlation. Introduction to regression with several explanatory variables. Essential use is made of statistical software throughout. Intended primarily for students majoring in the mathematical sciences. For statistics majors and minors, credit should be allowed in no more than one of STAT 30100, 35000, 50100, and in no more than one of STAT 50300 and STAT 51100. Prerequisite: two semesters of college calculus. Typically offered Fall Spring.
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STAT 36100 - Applied Regression Analysis
Prerequisite(s): (STAT 22500 FOR LEVEL UG WITH MIN. GRADE OF D- (MAY BE TAKEN CONCURRENTLY) OR STAT 31100 FOR LEVEL UG WITH MIN. GRADE OF D- (MAY BE TAKEN CONCURRENTLY) ) AND STAT 30100 FOR LEVEL UG WITH MIN. GRADE OF D- (MAY BE TAKEN CONCURRENTLY) AND STAT 35000 FOR LEVEL UG WITH MIN. GRADE OF D- (MAY BE TAKEN CONCURRENTLY) AND STAT 50300 FOR LEVEL UG WITH MIN. GRADE OF D- (MAY BE TAKEN CONCURRENTLY) AND (PSY 20100 FOR LEVEL UG WITH MIN. GRADE OF D- (MAY BE TAKEN CONCURRENTLY) OR PSY 20300 FOR LEVEL UG WITH MIN. GRADE OF D- (MAY BE TAKEN CONCURRENTLY) )
Credit Hours: 3.00. Simple linear regression, multiple linear regression, nonlinear regression, generalized linear models and correlation analysis are covered. Statistical computer programs are used. Typically offered Fall Spring.
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STAT 36200 - Experimental Designs
Prerequisite(s): STAT 36100 FOR LEVEL UG WITH MIN. GRADE OF D
Credit Hours: 3.00. Single-factor analysis of variance (ANOVA), multifactor ANOVA, randomized block designs, nested designs, repeated measures, latin square and response surface methodology are covered. Statistical computer programs are used. Typically offered Fall Spring.
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STAT 36300 - Sampling Techniques
Prerequisite(s): (STAT 22500 FOR LEVEL UG WITH MIN. GRADE OF D- (MAY BE TAKEN CONCURRENTLY) OR STAT 31100 FOR LEVEL UG WITH MIN. GRADE OF D- (MAY BE TAKEN CONCURRENTLY) ) AND STAT 30100 FOR LEVEL UG WITH MIN. GRADE OF D- (MAY BE TAKEN CONCURRENTLY) AND STAT 35000 FOR LEVEL UG WITH MIN. GRADE OF D- (MAY BE TAKEN CONCURRENTLY) AND STAT 50300 FOR LEVEL UG WITH MIN. GRADE OF D- (MAY BE TAKEN CONCURRENTLY) AND (PSY 20100 FOR LEVEL UG WITH MIN. GRADE OF D- (MAY BE TAKEN CONCURRENTLY) OR PSY 20300 FOR LEVEL UG WITH MIN. GRADE OF D- (MAY BE TAKEN CONCURRENTLY) )
Credit Hours: 3.00. Simple probability samples, ratio and regression estimation, stratified sampling, cluster sampling with equal probabilities, sampling with unequal probabilities, complex surveys, dealing with non-response. This course teaches statistical ideas that are useful in understanding and designing research in most areas of study, particularly for students in business, the social or behavioral sciences, communication and education. Statistical computer programs are used. Typically offered Fall Spring.
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STAT 40001 - Statistical Computing
Prerequisite(s): STAT 30100 FOR LEVEL UG WITH MIN. GRADE OF C- OR STAT 34500 FOR LEVEL UG WITH MIN. GRADE OF C-
Credit Hours: 3.00. The purpose of this course is to teach fundamental computing skills required by practicing statisticians. Students will use statistical software for analysis and model building of real world data. Topics include descriptive statistics, inferential statistics, model building, designing and performing simulation experiments, writing codes to perform common statistical tasks. Typically offered Fall Spring Summer.
Experiential Learning (EL): EL
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STAT 43000 - Applied Statistics
Prerequisite(s): MA 26500 FOR LEVEL UG WITH MIN. GRADE OF C- AND STAT 40001 FOR LEVEL UG WITH MIN. GRADE OF C-
Credit Hours: 3.00. This class focuses on how mathematical reasoning and statistical methods are used to analyze qualitative and quantitative data. Topics include estimation and hypothesis testing, linear and nonlinear models, generalized linear models, analysis of categorical data, elements of survival analysis and nonparametric statistical methods. Typically offered Fall Spring Summer.
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STAT 46500 - Case Studies In Statistical Methods
Prerequisite(s): STAT 36100 FOR LEVEL UG WITH MIN. GRADE OF D (MAY BE TAKEN CONCURRENTLY) AND STAT 36200 FOR LEVEL UG WITH MIN. GRADE OF D (MAY BE TAKEN CONCURRENTLY)
Credit Hours: 3.00. A variety of different statistical methods are applied to data sets in a number of different fields. Statistical methods covered include applied regression analysis, experimental design, sampling, time series, categorical data analysis and applied multivariate analysis. This course provides a summary of how statistical ideas are useful in understanding and designing research in many areas of study. Each student investigates and reports on six case study projects. Statistical computer programs are used. Typically offered Fall Spring.
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STAT 49000 - Topics In Statistics For Undergraduates
Credit Hours: 1.00 to 5.00. Supervised reading course or special topics cousre at the senior level for undergraduates are given under this number. Permission of instructor required. Typically offered Fall Spring Summer.
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STAT 50100 - Experimental Statistics I
Prerequisite(s): MA 15300 FOR LEVEL UG WITH MIN. GRADE OF C- OR MA 15900 FOR LEVEL UG WITH MIN. GRADE OF C-
Credit Hours: 3.00. Concepts and methods of applied statistics. Exploratory analysis of data. Sample design and experimental design. Normal distributions. Sampling distributions. Confidence intervals and tests of hypotheses for one and two samples. Inference for contingency tables, regression and correlation, and one-way analysis of variance. Use of the SAS statistical software. Intended primarily for students who have not had calculus. Not open to students in mathematical sciences or engineering. For statistics majors and minors, credit should be allowed in no more than one of STAT 30100, STAT 35000, STAT 50100, and in no more than one of STAT 50300 and STAT 51100. Prerequisite: College Algebra. Typically offered Fall Spring Summer.
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STAT 50200 - Experimental Statistics II
Prerequisite(s): STAT 50100 FOR LEVEL GR WITH MIN. GRADE OF C-
Credit Hours: 3.00. Regression with several explanatory variables. Regression diagnostics. Analysis of variance for factorial designs. Multiple comparisons. Analysis of covariance. Repeated measures designs. Extensive use of the SAS statistical software. Intended primarily for students who have not had calculus. Not open to students in mathematical sciences or engineering. Typically offered Summer Spring.
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STAT 50300 - Statistical Methods For Biology
Prerequisite(s): MA 22300 FOR LEVEL UG WITH MIN. GRADE OF D
Credit Hours: 3.00. Introductory statistical methods, with emphasis on applications in biology. Topics include descriptive statistics, binomial and normal distributions, confidence interval estimation, hypothesis testing, analysis of variance, introduction to nonparametric testing, linear regression and correlation, goodness-of-fit tests, and contingency tables. Open only to majors related to the life sciences. For statistics majors and minors, credit should be allowed in no more than one of STAT 30100, STAT 35000, STAT 50100, and in no more than one of STAT 50300 and STAT 51100. Typically offered Fall Spring Summer.
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STAT 51100 - Statistical Methods
Prerequisite(s): MA 26100 FOR LEVEL UG WITH MIN. GRADE OF C-
Credit Hours: 3.00. Descriptive statistics; elementary probability; sampling distributions; inference, testing hypotheses, and estimation; normal, binomial, Poisson, hypergeometric distributions; one-way analysis of variance; contingency tables; regression. For statistics majors and minors, credit should be allowed in no more than one of STAT 30100, STAT 35000, STAT 50100, and in no more than one of STAT 50300 and STAT 51100. Prerequisite: Two semesters of college calculus. Typically offered Fall Spring.
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STAT 51200 - Applied Regression Analysis
Prerequisite(s): STAT 51100 FOR LEVEL GR WITH MIN. GRADE OF C- OR STAT 51700 FOR LEVEL GR WITH MIN. GRADE OF C-
Credit Hours: 3.00. Inference in simple and multiple linear regression, residual analysis, transformations, polynomial regression, model building with real data, nonlinear regression. One-way and two-way analysis of variance, multiple comparisons, fixed and random factors, analysis of covariance. Use of existing statistical computer programs. Prerequisite: Coursework in Statistical Methods with a calculus prerequisite. Typically offered Fall Spring Summer.
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STAT 51300 - Statistical Quality Control
Prerequisite(s): STAT 51600 FOR LEVEL GR WITH MIN. GRADE OF C- OR STAT 51100 FOR LEVEL GR WITH MIN. GRADE OF C-
Credit Hours: 3.00. A strong background in control charts including adaptations, acceptance sampling for attributes and variables data, standard acceptance plans, sequential analysis, statistics of combinations, moments and probability distributions, applications. Offered in alternate years. Typically offered Fall Spring.
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STAT 51500 - Statistical Consulting Problem
Credit Hours: 1.00 to 3.00. A written report of a consultation problem involving a designed experiment or sampling plan in which the student participates with members of the Department of Statistics staff. Permission of instructor required. Typically offered Fall Spring Summer.
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STAT 51900 - Introduction To Probability
Credit Hours: 3.00. (MA 51900) Algebra of sets, sample spaces, combinatorial problems, independence, random variables, distribution functions, moment generating functions, special continuous and discrete distributions, distribution of a function of a random variable, limit theorems. Typically offered Fall Spring.
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STAT 59700 - Statistical Consulting Seminar
Credit Hours: 1.00. Active participation in weekly consulting meetings, directed reading in the statistical literature, application of statistical methods to real problems, report writing. Permission of Instructor required. Typically offered Fall Spring Summer.
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STAT 59800 - Topics In Statistical Methods
Credit Hours: 0.00 to 6.00 (West Lafayette, IUPUI) 1.00 to 3.00 (North Central) Directed study and reports for students who wish to undertake individual reading and study on approved topics. Permission of instructor required. Typically offered Fall Spring Summer.
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