Main

• Calendar and Legacy Calendar (info prior to Nov. 1)
• Syllabus:
• Software: RStudio online, StatKey, WebWork (direct link)
• Solutions to Exam 1, Exam 2, Exam 3
• Grading codes

Professor Scofield's schedule (see right margin)

Mirroring content from the text

• Sampling distributions
• Bootstrapping for confidence intervals
• Randomization (hypothesis) testing
• Inference using formulas
• Chi-square tests
• 1-way ANOVA
• Correlation and Regression

Data sources

• Some .csv data sets
• A site describing datasets available through R packages
• Data sets from Applied Linear Regression, 4th Ed., by Sanford Weisberg

R resources

• A R Markdown: The Definitive Guide, by Xie, Allaire and Grolemund | a cheat sheet
• An R command reference card designed by Tom Short
• A Student's Guide to R
• Some more-involved plots and how to generate them

Apps (most written using Shiny)

• One for comparing the mean and median
• Discovering associations between categorical variables
• Correlation: on both linear and nonlinear datasets | the correlation game
• The idea of regression
• Standard normal probability calculator (view other statistical links by David M. Lane here)
• Sampling distribution app, and my version
• Randomization distribution app for matched pairs data
• Central limit theorem demos for proportions and for means
• Randomization distributions for goodness-of-fit tests
• 1-way ANOVA: apps for manipulating parameters μ_i, σ_i, generating a randomization distribution for the F-statistic, completing an ANOVA table
• Simple Linear Regression

Covid and covid-related studies

• A report from WHO, acknowledging 4 studies that show transmission of virus from truly asymptomatic carriers is between 0% and 2.2%.
• Study conducted in Wuhan during 2020, investigating spread from asymptomatic positives to close contacts (Nature)
• A now 5-month-old study from Stanford on the ineffectiveness of masks for stopping the spread of Covid, and their ill physiological effects