Applied Statistical Data Analysis and Inference

DSC 152, Spring 2026 at UC San Diego

Peter Chi
he/him

All course communications should be posted on Campuswire; please direct all questions you have during the quarter either as a public post or to “instructors & TAs” there.

Next to each lecture below, “code” is the .Rmd file that makes the slides, and “write” is the pdf that will (more or less) be what I project in class, and that you can either print or download to take notes on. You can ignore the “code” file unless you are curious about how anything in the slides was created. Note: if you want to open it in a new tab, you can right-click and select “Open link in new tab” there; (I couldn’t figure out how to make it automatically open in a new tab with a left-click in this website theme).

Week 1 – Background, Basic Type I Error Rate Estimation

Tue Mar 31

LEC 1 Introduction and Background

Wed Apr 1

DISC 1 Getting Started with R and R Markdown

SUR Welcome Survey

SYL Syllabus Check

Thu Apr 2

LEC 2 Type I Error Estimation with the t-Test

Week 2 – Type I Error Rate and Power

Mon Apr 6

LAB 1 Introduction to R

Tue Apr 7

LEC 3 Nonparametric tests and Type I Errors

Wed Apr 8

DISC 2 tidyverse basics (dplyr, ggplot2, etc.)

code Discussion R code

Thu Apr 9

LEC 4 One sample tests and power

Week 3 – Effect Size and A/B Testing

Mon Apr 13

LAB 2 Type I Error Rate and Power

Tue Apr 14

LEC 5 Statistical Significance vs. Effect Size

Forbes, Guardian

Wed Apr 15

DISC 3 Extra Office Hours

Thu Apr 16

LEC 6 A/B Testing Principles and t-Test vs. Permutation Test

Jalapic, Medium, data36, Unbounce

HW1 One Sample Type I Errors and Power

HW1 Homework 1 Answer Key

data HW1 dataset

Week 4 – Linear Regression

Mon Apr 20

LAB 3 Effect Size, A/B Testing

Tue Apr 21

LEC 7 Statistical Inference for Simple Linear Regression

MD 10, SPA 6.12-6.13

DATA Lecture data (March Madness)

Wed Apr 22

QUIZ 1 Quiz 1 covers Lectures 1-5

PRAC Practice Quiz 1

PRAC Practice Quiz 1 Solutions

Thu Apr 23

LEC 8 Statistical Inference for Multiple Linear Regression

Week 5 – Categorical Predictor Variables, Model Diagnostics

Mon Apr 27

LAB 4 Type I Error rates and power in Regression

Tue Apr 28

LEC 9 Categorical Predictor Variables

DATA Lecture data (Mental Health Dogs)

Wed Apr 29

DISC 4 HW1 and Quiz 1 review

Thu Apr 30

LEC 10 Model Diagnostics in Regression

Week 6 – Interaction

Mon May 4

LAB 5 Model Diagnostics, Dummy Variables

Tue May 5

LEC 11 Interaction Terms: Interpretation and Inference

DATA Lecture data (Learning Probability Theory)

SUR Mid-Quarter Survey

Wed May 6

DISC 5 Extra Office Hours

Thu May 7

LEC 12 Interaction Terms, Continued

DATA Lecture data (Rosa Smith stats)

HW 2 Inference in Regression

data HW2 dataset

Week 7 – Transformations, Model Selection

Mon May 11

LAB 6 Interaction Terms

Tue May 12

LEC 13 Transformations of Variables

Wed May 13

QUIZ 2 Quiz 2 covers Lectures 6-11

PRAC Practice Quiz 2

Thu May 14

LEC 14 Pitfalls of Mixing Model Selection with Inference

Week 8 – Logistic Regression

Mon May 18

LAB 7 Transformations, Model Selection and Inference

Tue May 19

LEC 15 Introduction to Logistic Regression

Wed May 20

DISC 6 HW2 and Quiz 2 review

Thu May 21

LEC 16 Statistical Inference for Logistic Regression

Week 9 – Time Series

Mon May 25

LAB 8 Logistic Regression

Tue May 26

LEC 17 Introduction to Time Series

Wed May 27

DISC 7 Extra Office Hours

Thu May 28

LEC 18 Time Series Regression

HW 3 Logistic Regression, Interaction Terms, Model Selection

Week 10 – Time Series, Review

Mon Jun 1

LAB 9 Poker and Slot Machines: Model Selection and other considerations

Tue Jun 2

LEC 19 Time Series Models

Wed Jun 3

QUIZ 3 Quiz 3 covers lectures 12-17

Thu Jun 4

LEC 20 Catch up / Review

Sat Jun 6

SUR SETs (due 8AM)

EXAM Final Exam (3-6pm)