STA 371G

Basic Information

• Instructor: Mingyuan Zhou, Ph.D., Assistant Professor of Statistics
  
• Office: CBA 6.462 (Six floor, on the east side of the building that faces the entrance of Gregory Gym)
• Email: mingyuan.zhou@mccombs.utexas.edu
• Phone: 512-232-6763
• Website: http://mingyuanzhou.github.io/
• Office Hours: Tuesday & Thursday 5:00-6:30 PM. Welcome to come by my office at other times as well.
• Teaching Assistants:
  • Quan Zhang, quan.zhang@mccombs.utexas.edu, IROM PhD Student, Office Hours: Wednesday, 3:00-4:30 PM, CBA 4.304A (TA Space D)
  • Xingliang Zheng, zxl1924@gmail.com, ORIE Master Student, Office Hours: Wednesday, 10:30AM-12:00 PM, CBA 4.304A (TA Space C)
• Midterm Exam #1: UTC 2.102A, 7:00-10:00 pm, Tuesday, 03/01/2016
• Midterm Exam #2: WEL 1.316, 7:00-10:00 pm, Tuesday, 04/12/2016
• Final Exam: JES A121A, 7:00-10:00 pm, Wednesday, 05/11/2016
• Makeup Final Exam: RLM 7.124, 7:00-10:00 pm, Thursday, 05/12/2016

Syllabus

syllabus_STA371G_2016.pdf

Outline (Day by Day, updated one day before each class)

outline_STA371G_2016.pdf

Class Notes

• Review of Basic Probability and Statistics
  • 1.1 Random Variables and Probability Distributions
            Jan14_NameLength.R
    
  • 1.2 Normal and Binomial Distributions
    Lecture note 3 / Lecture note 4
            PlotNormal.xlsx, TestScore.xlsx, plotNormal.R
    
  • 1.3 Estimation and Sampling Distributions
            SamplingDist.R, StudentT.R
    
• Simple Linear Regression
  • 2.1 Least Squares Estimation
            House_SLR.xls, House_SLR.R, BaseBall_SLR.xls, BaseBall_SLR.R, RunsPerGame.txt
    
  • 2.2 Covariance and Correlation, Goodness of Fit
            House_Corr.xls, House_Corr.R
    
  • 2.3 Model Assumptions
            Stock.xls
    
  • 2.4 Sampling Distributions and Confidence Intervals for Regression Parameters
• Multiple Linear Regression
• 3.1 Multiple Linear Regression
          AutoMPG_MLR.xls, AutoMPG_MLR.R, ScatterPlotAuto.pdf                   Baseball_MLR.xls, Baseball_MLR.R, ScatterPlotBaseball.pdf        Supervisor_MLR.xls,   NBeer_MLR.xls
  
• 3.2 Dummy Variables and Interactions
          BankSalary.xls, BankSalary.R, SalaryData.txt                                     MidCity.xls, MidCity.R, MidCity.txt
  
• 3.3 Diagnostics and Transformations
          Anscombe.xls, Anscombe.R                                                                         Telemarketing.xls, Telemarketing.R, Telemarketing.txt                                     GPA.xls                                                                                                           MPG_Auto_Log.R                                                                                                           OrangeJuiceSale.xls, OrangeJuiceSale.R, OrangeJuiceSale.txt
  
• Time Series
• 4.1 Fitting a Trend
• 4.2 Autoregressive Models
          Stock Closing Prices
  
• 4.2 Modeling Seasonality
• Model Selection
• 5 Model Selection
• Decision Making
• 6.1 Probability, Betting Odds and Bayes' Theorem
• 6.2 Decision Criteria and Utility Functions
• 6.3 Decision Trees
• 6.4 The Value of Information
• Simulation
• 7.1 Introduction to Monte Carlo Simulation
          Market_Simulation_imcomplete.xls, Market_Simulation.xls, RollaDie.R, Roll2Dice.R,         Simulate_Pi.xls, Simulate_Pi.R,         Simulation.R
  
• 7.2 Introduction to Monte Carlo Simulation: Examples
          Simulation2.R
  

Homework and Case Study (about eight in total)

• Homework Assignment 1, Solution, Due in Class on Thursday, 02/04/2016
• Homework Assignment 2, Solution, Due in Class on Thursday, 02/11/2016
• Homework Assignment 3, Solution, Amore.R, Due in Class on Thursday, 02/18/2016
• Homework Assignment 4, Solution, Due 5:00 pm on Friday in CBA 6.462, 02/26/2016
           Price and Sales, Waite First Securities, Milk and Money
  
• Homework Assignment 5, Solution, Due in Class on Thursday, 03/24/2016
           Profits.csv, RunsPerGame.csv, zagat.csv, Orion Bus Industries
  
• Homework Assignment 6, Solution, Due in Class on Thursday, 03/31/2016
           MidCity.csv, Profits.csv, AutoMPG.csv, Oakland_A.xls, Oakland_B.xls
  
• Homework Assignment 7, Solution, Solution_Excel, Due in Class on Thursday, 04/07/2016
           Northern Napa Valley Winery
  
• Homework Assignment 8, Solution, Due in Class on Thursday, 05/05/2016

Topic Summaries

• Topic Summary for Exam #1
• Practice Exam for Midterm Exam #1 Solution
• Another Practice Exam for Midterm Exam #1, Solution
• Topic Summary for Exam #2
• In Class Quiz Questions
• Solutions for Midterm Exams are posted in Canvas/files
• Topic Summary for the Final Exam
• Practice Questions for the Final Exam (the solutions can be found in Canvas/files)
• Additional In Class Quiz Questions
• Final Exam: JES A121A, 7:00-10:00 pm, Wednesday, 05/11/2016
• Makeup Final Exam: RLM 7.124, 7:00-10:00 pm, Thursday, 05/12/2016