• Course Syllabus - course contents, links, textbooks, grading, tips, and other info
  
• Canvas - homework, solutions, grades, discussions.

Textbooks

• Applied Linear Regression Models, 4th edition, by M. Kutner, C. Nachtsheim, and J. Neter. McGraw-Hill, 2004 (701 pp). ISBN 0073014664
  or
  
• Applied Linear Statistical Models, 5th edition, by M. Kutner, C. Nachtsheim, J. Neter, and W. Li. McGraw-Hill, 2004 (1396 pp). ISBN 007310874X

R corner

Python corner

SAS corner

      Classroom labs

• R Lab 0 - First steps in R (Python version)
• R Lab 1 - Introduction and regression examples (Python version)
• R Lab 2 - Review of T-tests and F-tests (Python version)
• R Lab 3 - Univariate linear regression (Python version)
• R Lab 4 - Regression inference (Python version)
• R Lab 5 - Regression diagnostics and remedies (Python version)
• R Lab 6 - Simultaneous Estimaton (Python version)
• R Lab 7 - Matrices (Python version)
• R Lab 8 - Multivariate Regression (Python version)
• R Lab 9 - Regression model building
• R Lab 10 - Regression model building continued
• R Lab 11 - Multicollinearity and Ridge Regression
• R Lab 12 - Influential data analysis
• R Lab 13 - Nonlinear regression
• R Lab 14 - Logistic regression

Datasets

• Home sales data in CSV, TXT
• Restaurants data in CSV
• Presidents data in CSV
• US population census data in CSV
• Titanic dataset and its description.
• NFL field goals data in TXT. Data description.
• Depression data in CSV. Data description.
• Pulse data in CSV
• Built-in R datasets
• R datasets in package "datasets"
• R datasets in package "MASS"

Data from our textbook

Data suggestions for the final project

Handouts

• Table of Normal distributions
• Table of T-distributions
• Table of Chi-square distributions
• Table of F distribution
• Shortened tables of Normal, T, and F distributions
• Matrices

  Quick review:

• Expected value and variance: slides
• Normal distribution and sample mean: slides
• Confidence intervals: slides
• Hypothesis testing slides
• Two-sample procedures: slides
• Chisquare tests: slides
• Tests and confidence intervals: formula list

  Detailed review:

• P-value
• Descriptive and graphical statistics
• Statistical inference: estimation and testing

Food for thought

• BBC: Women may outsprint men by 2156 - based on this study
• The ASA Statement on p-Values
• Moving to a World Beyond “p < 0.05”

Masters Program in Statistics at American University

MS-Statistics covers methodology grounded in theory and applied to real data

Main links:

• MS-Statistics program website
• Faculty and their research
• Apply to the program here

Unique opportunities:

• Accelerated "4+1" BS-to-MS program: MS degree in Statistics 1 year after BS
• MS+Cert: Graduate Certificate in Data Science integrated within the MS degree in Statistics
• Double-Eagle scholarship: 30% tuition discount
• Three super-active student clubs: meet friends and join the community

For more information:

• Email any questions to the Program Director Michael Baron
• Join my weekly Ask-Me-Anything Zoom Sessions every Monday at 12:00 pm ET. Link: https://american.zoom.us/j/95868480371
• Orientation slides: degree plans, our students, faculty, research opportunities, job opportunities, and more.