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Course Criteria
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3.00 Credits
Credit Hours: 3.00. Introduction to statistical methods with applications to diverse fields. Emphasis on understanding and interpreting standard techniques. Data analysis for one and several variables, design of samples and experiments, basic probability, sampling distributions, confidence intervals and significance tests for means and proportions, correlation and regression. Software is used throughout. Credit cannot be given for more than one of STAT 30100, 30500, 35000, 43300 50100, 50300, and 51100. Prerequisite: college algebra. Typically offered Summer Fall Spring. 0.000 OR 3.000 Credit Hours Levels: Graduate, Indiana College Network, Professional, Undergraduate Schedule Types: Distance Learning, Individual Study, Laboratory, Lecture, Recitation College of Science College Statistics Department Course Attributes: Upper Division
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3.00 Credits
Credit Hours: 3.00. Continuation of STAT 301 Multiple regression and analysis of variance, with emphasis on statistical inference and applications to various fields. Typically offered Fall Spring Summer. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Distance Learning, Lecture Regional Campus Only College Course Attributes: Upper Division
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3.00 Credits
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 225, 311, or 416. Prerequisite: two semesters of college calculus. Typically offered Spring. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Distance Learning, Lecture College of Science College Statistics Department Course Attributes: Upper Division
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3.00 Credits
Credit Hours: 3.00. Statistical methods of simple linear regression, multiple linear regression, experimental design, analysis of variance, and nonparametric analysis. One or more statistical computer programs will be used. Student projects required, typically using data from the student's major. Typically offered Fall. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Distance Learning, Lecture Regional Campus Only College Course Attributes: Upper Division
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3.00 Credits
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. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Distance Learning, Lecture Regional Campus Only College Course Attributes: Upper Division
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3.00 Credits
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. Credit cannot be given for more than one of STAT 301, 305, 350, 433, 501, 503, and 511. Prerequisite: two semesters of college calculus. Typically offered Fall Spring. 0.000 OR 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Distance Learning, Individual Study, Lecture, Recitation College of Science College Statistics Department Course Attributes: Upper Division
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3.00 Credits
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. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Distance Learning, Lecture Regional Campus Only College Course Attributes: Upper Division
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3.00 Credits
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. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Distance Learning, Lecture Regional Campus Only College Course Attributes: Upper Division
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3.00 Credits
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. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Distance Learning, Lecture Regional Campus Only College Course Attributes: Upper Division
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2.00 Credits
Credit Hours: 2.00. This course is intended to help actuarial students prepare for the new Actuarial Exam I. The course provides a review of theory and applications of probability and calculus. Typically offered Fall Spring. 2.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Distance Learning, Lecture Regional Campus Only College Course Attributes: Upper Division
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