• STAT 4130: Intro to Experimental Design

  3.00 Credits

  Austin Peay State University

  
  Prerequisite: STAT 4120;Description: Design concepts for experiments and studies: ANOVA for standard designs; analysis of covariance and other experimental designs.
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• STAT 4140: Intro to Time Series Analysis

  3.00 Credits

  Austin Peay State University

  
  Prerequisite: STAT 4120 or 5120 or permission of instructor;Description: This course covers methods for analyzing data collected over time. Topics include autoregressive-moving average models (MA, ARMA, ARIMA), exponential smoothing, model identification, estimation, diagnostic checking, forecasting. Appropriate statistical software (such as R or SAS) used throughout.
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• STAT 4170: Data Visualization and Explora

  3.00 Credits

  Austin Peay State University

  
  Prerequisite: STAT 4120 or permission of instructor;Description: Introduction to data analysis, pitfalls of data visualizations, making data-driven inferences and decisions, high dimensional data visualization, statistical and data mining techniques in information visualization.
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• STAT 4200: Intro to SAS Programming

  3.00 Credits

  Austin Peay State University

  
  Description: Creating and reading raw data files and SAS data sets, investigating and summarizing data; creating SAS variables and recoding data values; combining multiple SAS files and creating listings and HTML summaries. Prepares students for the SAS Base Programming exam.
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• STAT 4240: Introduction to Probability

  3.00 Credits

  Austin Peay State University

  
  Prerequisite: MATH 1920; Crosslisted STAT 4240;Description: A mathematical introduction to probability; sample spaces; probability functions; counting techniques; conditional probability; independence, total probability and Baye's rule; discrete and continuous random variables; expectation, median, variance; joint and conditional distributions; moment generating functions; laws of large numbers and the central limit theorem.
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• STAT 4250: Intro to Math Statistics

  3.00 Credits

  Austin Peay State University

  
  Prerequisite: STAT 4240;Description: A mathematical treatment of statistics including;: properties of estimators; maximum likelihood estimation; confidence intervals; hypothesis testing; analysis of categorical data; non-parametric statistics.
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• STAT 4260: Intro to Stochastic Processes

  3.00 Credits

  Austin Peay State University

  
  Prerequisite: MATH 4240 or STAT 4240; Crosslisted: STAT 4260;Description: An introduction to stochastic processes and their applications: Poisson and compound Poisson processes; discrete and continuous time Markov chains; renewal theory; random walks and Brownian motion.
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• STAT 4270: Intro to Nonparametric Stats

  3.00 Credits

  Austin Peay State University

  
  Prerequisite: STAT 3250 and (MATH 4240 or STAT 4240);Description: Distribution free techniques for estimation of parameters and comparison of populations.
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• STAT 4290: Intro to Predictive Analytics

  3.00 Credits

  Austin Peay State University

  
  Prerequisite: STAT 4120 or 5120 or permission of instructor;Description: Advanced statistical techniques for analyzing large and high dimensional data. Topics include data mining strategy, data processing, predictive modeling techniques for decision making, model assessment and comparison. This course will be taught using appropriate statistical software.
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• STAT 4810: Senior Seminar

  1.00 Credits

  Austin Peay State University

  
  Prerequisite: Senior standing and permission of department chair; Cross listed: MATH 4810; Description: The threads that link concepts found in undergraduate mathematics and statistics will be discussed. The transition from student to career will be addressed. Students will propose and carry out a capstone project in statistics under the supervision of a faculty mentor.
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