• STAT 3050: Stat-Methods-Gen

  3.00 Credits

  University of Wyoming

  
  Provides undergraduate majors in the Colleges of Arts and Sciences, Agriculture and Education with training in statistical methodology for multiple variable situations. Integrates computer analysis packages such as MINITAB, SAS and SPSSX into statistical topics. Credit cannot be earned in more than one of the following courses: STAT 2110, 3050 and 5050, 5060, 5070, 5080. Prerequisite: STAT 2050, 2070 or equivalent.
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• STAT 4005: Data Wrangling

  3.00 Credits

  University of Wyoming

  
  The course is an introduction to statistical computing preparatory to conducting statistical analyses. Data wrangling is the management,manipulation, processing, structuring, or transforming of raw information into a desired format. The purpose of data wrangling is to improve thequality of the information and make it more useful for consumption, summarization, statistical analyses, or machine learning.
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• STAT 4010: Regression Anlysis

  3.00 Credits

  University of Wyoming

  
  Contains standard topics, as well as some newer and more unconventional ones. Oriented towards analysts who use computer packages for problem solutions. Includes balance of application and theory. Prerequisite: choice of STAT 2110, 3050, 5050/5060/5070/5080 or consent of instructor.
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• STAT 4015: Regression Analysis

  3.00 Credits

  University of Wyoming

  
  Contains standard topics, as well as some newer and more unconventional ones. Oriented towards analysts who use computer packages for problem solutions. Includes balance of application and theory. Dual listed with STAT 5015. Prerequisites: STAT 3050 or equivalent.
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• STAT 4020: Dsgn/Analy Exp I

  3.00 Credits

  University of Wyoming

  
  Reviews design and analysis of one-factor experiments and introduces multi-factor experiments, Latin squares, nested designs and random effects. Includes topics such as polynomial response curves, trend analysis, split plots and incomplete blocks as time permits. Prerequisite: choice of STAT 2110, 3050, 5050, 5060, 5070, 5080 or consent of instructor.
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• STAT 4025: Design & Analysis Expermnt I

  3.00 Credits

  University of Wyoming

  
  Reviews design and analysis of one-factor experiments and introduces multifactor experiments, Latin squares, nested designs, and random effects. Includes topics such as polynomial response curves, trena analysis, split plots and incomplete blocks as time permits. Dual listed with STAT 5025. Prerequisites: STAT 3050 or equivalent.
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• STAT 4040: Catagorical Data

  3.00 Credits

  University of Wyoming

  
  Applied methods for analyzing associations when some or all variables are measured in discrete categories, not continuous scales. Topics include the binomial, multinomial, and Poisson probability models, parameter estimation and hypothesis-testing about proportions, measures of association and tests for contingency tables, logistic regression, and log-linear models. Prerequisites: STAT 2110, 3050, 5050, 5060, 5070, or 5080.
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• STAT 4045: Categorical Data Analysis

  3.00 Credits

  University of Wyoming

  
  Applied methods for analyzing associations when some or all variables are measured in discrete categories, not continuous scales. Topics include the binomial, multinomial, and Poisson probability models, parameter estimation and hypothesis-testing about proportions, measures of association and tests for contingency tables, logistic regression, and long-linear models. Dual listed with STAT 5045. Prerequisites: two courses in statistics.
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• STAT 4070: Causal Models

  3.00 Credits

  University of Wyoming

  
  Applications of least-squares and iterative maximum-likelihood methods for drawing cause and effect conclusions from non-experimental data. Topics include regression-based path analysis, reciprocal causation, confirmatory factor analysis, measurement error, and structural equation models with unmeasured (latent) variables. Cross listed with SOC 4070. Prerequisites: one of STAT 3050, 4010, 5050, 5060, 5070, 5080 or equivalent (regression methods).
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• STAT 4110: Time Series Analy

  3.00 Credits

  University of Wyoming

  
  An applied introduction to time series and forecasting. Brief coverage of time series regression, decomposition methods, and smoothing will lead into a more detailed coverage of Box-Jenkins (ARIMA) modeling. Computer analyses using MINITAB and SAS will be an important part of the course. Cross listed with ECON 4110. Prerequisites: STAT 2110, 3050, or 5050; STAT 4010 is recommended.
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