BEYOND AP STATISTICS WORKSHOP
For experienced AP or introductory college-level statistics instructors
July 22 鈥� 25 (virtual)
The Beyond AP Statistics (BAPS) workshop is designed for experienced AP or introductory college-level statistics instructors, covering material just beyond the curricula. It is useful for instructors who assign projects to their students that employ more advanced methods, who possess a curiosity about learning more, or who are interested in pursuing further studies or independent statistical consulting.
The workshop takes place over three-and-a-half days, consisting of seven half-day sessions on different topics.
Workshop Schedule
Monday, July 22
- 1 鈥� 4 p.m.: 鈥淪imulation-based Inference鈥� with Doug Tyson
- 4 鈥� 5 p.m.: Optional practice session
Tuesday, July 23
- 9 a.m. 鈥� 12 p.m.: 鈥淚ntroduction to R for Data Science鈥� with Michael Posner, PhD
R, an open-source program, is the statistical software of choice for statisticians and many data scientists. We will introduce data entry, manipulation and visualization. R will be used in subsequent workshop sessions. - 1 鈥� 4 p.m.: 鈥淢ultiple Regression, part 1鈥� with Michael Posner, PhD
Multiple regression is modelling that includes more than one independent variable, like most real-world situations. It is one of the most used statistical techniques and the underpinning of many more advanced methods. Based on previous demand, we have extended this to a full-day session. - 4 鈥� 5 p.m.: Optional practice session
Wednesday, July 24
- 9 a.m. 鈥� 12 p.m.: 鈥淢ultiple Regression, part 2鈥� with Michael Posner, PhD
Multiple regression is modelling that includes more than one independent variable, like most real-world situations. It is one of the most used statistical techniques and the underpinning of many more advanced methods. Based on previous demand, we have extended this to a full-day session. - 1 鈥� 4 p.m.: 鈥淎NOVA" with Paul Bernhardt, PhD
Analysis of Variance (ANOVA) is a procedure for comparing more than two group means. Several extensions will be introduced including multiple comparisons, two-way ANOVA and interaction. - 4 鈥� 5 p.m.: Optional practice session
Thursday, July 25
- 9 a.m. 鈥� 12 p.m.: 鈥淟ogistic Regression鈥� with Michael Posner, PhD
Binary dependent variables require a different regression model. Logistic regression accomplishes this using a transformation on y and odds ratios for changes in x (or the x鈥檚). - 1 鈥� 4 p.m.: 鈥淢issing Data鈥� with Paul Bernhardt, PhD
It is rarely the case that all data gathered, especially on individuals, is complete. This section introduces different types of missing data, how to identify them, and the impacts that they have on statistical inference.
Registration: $295
- 20% discount for Catholic School teachers ($236 fee)
- Scholarships available ($50 fee), thanks to the ASA
About the Instructors
Michael Posner, PhD, is a professor of Statistics and Data Science at 无码专区, where he has been since 2005 after completing his doctorate in biostatistics at Boston University. His publications and research span the fields of statistics and data science education research, health care research, statistics and the law, and analysis of observational studies. Dr. Posner has served on a number of regional and national committees on statistics education, including Chair of the Section on Statistics and Data Science Education for the ASA and Chair of the Special Interest Group of the MAA for Statistics Education. Dr. Posner has won teaching awards from the ASA (Waller 2012 and ASA Philadelphia Chapter 2023), the MAA (Alder 2012) and 无码专区 (2010), received the Distinguished Alumni Award from the Boston University School of Public Health Biostatistics Department, and is an elected Fellow of the ASA. He is the founding director of the Center for Statistics and Data Science Education in 无码专区鈥檚 College of Liberal Arts and Sciences.
Paul Bernhardt, PhD, is an associate professor of Statistics at 无码专区, where he has been since 2013 after completing his doctorate in statistics at North Carolina State University. He is currently the director of the graduate program in Applied Statistics at 无码专区 and the president of the Philadelphia Chapter of the American Statistics Association. While Dr. Bernhardt views his research on missing and censored data as central to his position at 无码专区, he has always considered teaching to be his true passion. As an undergraduate, he obtained a Pennsylvania Teaching Certification in Mathematics, and he is always looking to improve as an instructor.
Doug Tyson has taught mathematics and statistics to high school and undergraduate students for more than 30 years, currently at Central York High School. He has served on the NCTM/ASA Joint Committee on Curriculum in Statistics and Probability, a Question Leader at the AP Statistics Reading, a Consultant for the College Board, and runs workshops and teacher training events in statistical education around the country. He authored the Teacher's Edition for Statistics and Probability with Applications and the Teacher鈥檚 Edition for The Practice of Statistics, as well as the creator of AP Daily Videos for the College Board. He has been a speaker at regional and national mathematics education conferences, including NCTM Annual and state conferences, and has been nominated for the Presidential Awards for Excellence in Mathematics and Science Teaching. In a perfect world, Doug would be able to teach statistics without talking. While he still hasn鈥檛 achieved this goal, he鈥檚 gotten closer to achieving it. Outside of work, Doug likes to spend time with his family, hunt, fish, read, eat corn dogs, and make snow with his homemade snow-making machine.