Berkeley, CA.
Don't forget to come to class and office hours.
Welcome to the resource hub! My name is Edie Espejo, and I am one of the course grad student instructors! If you want, learn more about me here. You will find lots of help for PH142 on this page. I hope that we can all grow together as a class this semester… Do it big, everyone!
Professor Mi-Suk Kang Dufour
MWF 8:00-9:00, 245 Li Ka Shing
Before we get deep into the class, here are a few helper documents.
i. Homework Formatting
ii. Knitting Issues
iii. Turning in your assignments on Gradescope
In Part 1, we learn how to summarize, manipulate, and and visualize data. We also learn about how studies are designed so that they may collect representative data.
i. Loading in data
ii. Plotting
iii. Causal inference
iv. Monty Hall Problem
v. Probability introduction
vi. All distributions
vii. CI’s and the z-test slides and example set 1 and set 2
viii. Bob the Builder (One sample t-test) prompt and solutions (pdf) and solutions (html)
ix. Mann-Whitney (Rank Sum) code walkthrough (Clothing fit)
x. Wilcoxon Rank Sign Test code walkthrough (Exam scores)
xi. Permutation test tutorial (Theoretical examples and Spotify data)
xii. Bootstrap confidence intervals tutorial (Mean versus median)
i. Lab 1, Crash course intro to R
ii. Lab 2, Regression
iii. Lab 3, Sampling
iv. Lab 4, Conditional Probability
v. Lab 5, Probability functions in R
vi. Lab 6, Sampling distribution slides and animated notes
vii. Lab 8, Tea-test boba / bubble tea example
viii. Lab 9, ANOVA, Tukey’s HSD, and Regression
x. Lab 10, CI’s for proportions
xi. Lab 11, Chi-squared tests and Modcloth examples
i. Midterm 1 review notes and sample problems
ii. Midterm 2 review slides and sample problems
iii. Final review slides and sample problems and solutions
i. The best statistical inference cheat sheet for zee and tea (I did not make this, credit to whomever did - thank you!)
ii. All PH142 tests cheat sheet (Work in progress, please contribute!)
If you need more information about topics, read these too. I wrote them to give you some more examples/clarity.
i. Exploring the rappers dataset
ii. Regression with rappers
ii. Rappers in categories
Professor Corinne Riddell
MWF 8:00-9:00, 245 Li Ka Shing
Past material here