Standard statistical reasoning. Simple statistical methods. Social/physical sciences. Mathematical reasoning behind facts in daily news. Basic computing environment.

Instructor

Yu Yang

Teaching Assistants

Chenghao Lou
Kaiyuan Deng
Korey Qiang
Xinyi Chen

Logistics

Content

What is this course about?

This is an introductory statistics course intended for undergraduate students. Topics include exploratory data analysis (graphs and simple summary statistics), inference using hypothesis tests and confidence intervals, simple linear regression, one-way ANOVA, and chi-squared tests for two- way tables. Emphasis will be placed on being able to use these tools with real data. Students are expected to be comfortable with computers as we will be using R on a regular basis.

“All models are wrong, but some are useful.” – George E. P. Box

Reference Texts

The following texts are useful, but none are required.

Helpful Resources

The following resources are helpful, but none are required.


Coursework

Assignments (20%)

There are nine weekly assignments, which will improve both your theoretical understanding and your practical skills. All assignments contain both written questions and programming parts. All assignments must be turned into Canvas no later than 11:59 pm (U.S. Central Time) on due dates. Late submissions will not be accepted. All deadlines are listed in the schedule.

Participation (0%)

We appreciate everyone being actively involved in the class! At the same time, participation is not counted in credits.

Mid-term Exams (50%)

We will have two mid-term exams. Exam 1 is on October 20, 5:00 pm - 6:30 pm, at Anderson 310. Exam 2 is on November 17, 5:00 pm - 6:30 pm, at Anderson 310.

Final Exam (30%)

The final exam is cumulative. It will be on December 20, 5:00 pm - 7:00 pm, at Anderson 310.


Schedule

Updated lecture slides will be posted here shortly before each lecture.

Date Description Course Materials Events Deadlines
Tue Sep 6 R and RStudio Installation Suggested Readings:
  1. Introduction to R
Wed Sep 7 Course Overview
[slides]

Introduction to R and RStudio
Suggested Readings:
  1. Syllabus
  2. Handout Table of Contents
  3. Handout Chapter 1
  4. R Reference Guide
  5. RStudio Cloud Guide
Fri Sep 9 Chapter 1: Introduction
[slides]

Chapter 2: Exploring Data
[slides] [code] [data] 		Suggested Readings:
  1. Handout Chapter 1
  2. Textbook p1 - p24
  3. Handout Chapter 2.1, 2.2.1, 2.3
 HW 0 out

Make-up Exam Sign-up available 		HW 0 due
Mon Sep 12 Chapter 2: Exploring Data
[slides] [code] [data] 		Suggested Readings:
  1. Handout Chapter 2.3
Tue Sep 13 Lab 0: Data Importing and Data Summaries Suggested Readings:
  1. Lab 0 Handout
Wed Sep 14 Chapter 2: Exploring Data
[slides] [code] [data] 		Suggested Readings:
  1. Handout Chapter 2.2, 2.3
 Old Exams out

Office Hour Vote out
Fri Sep 16
[Zoom]		 Chapter 4: Gathering Data
[slides] 		Suggested Readings:
  1. Handout Chapter 4
  2. Textbook p153-172
 HW 1 out Office Hour Vote due
Mon Sep 19
[Zoom Recordings] 		Chapter 5: Probability
[slides] [code] 		Suggested Readings:
  1. Handout Chapter 5
  2. Textbook p200-232
Tue Sep 20 Lab 1 Suggested Readings:
  1. Lab 1 Handout
Wed Sep 21
[Zoom Recording] 		Chapter 5: Probability
[slides] 		Suggested Readings:
  1. Handout Chapter 5
  2. Textbook p200-232
Fri Sep 23
[Zoom]		 Review Chapter 5

Chapter 6: Probability Distribution
[slides] 		Suggested Readings:
  1. Handout Chapter 6.1, 6.3
  2. Textbook p254-266, p279-289
  3. Chapter 5, 6 Mindmap
 HW 2 out HW 1 due on Sunday
Mon Sep 26
[Zoom]		 Chapter 6: Probability Distribution
[slides] [code] 		Suggested Readings:
  1. Handout Chapter 6.3
  2. Textbook p279-289
 HW 1 Solution out
Tue Sep 27 Lab 2 Suggested Readings:
  1. Lab 2 Handout
Wed Sep 28 Chapter 6: Probability Distribution
[slides] [code] 		Suggested Readings:
  1. Handout Chapter 6.2
  2. Textbook p267-279
 Spring23 TA Hiring out
Fri Sep 30 Chapter 6: Probability Distribution
[slides] [code] 		Suggested Readings:
  1. Handout Chapter 6.2
  2. Textbook p267-279
 HW 3 out HW 2 due on Sunday
Mon Oct 3 Chapter 6: Probability Distribution
[slides] [code]

Chapter 7: Sampling Distributions
[slides] [code] 		Suggested Readings:
  1. Handout Chapter 7
  2. Textbook p298-323
 HW 2 Solution out

Example 6.8 Correction out

HW 1 Grade out
Tue Oct 4 Lab 3 Suggested Readings:
  1. Lab 3 Handout
Wed Oct 5 Chapter 7: Sampling Distributions
[slides] [code] 		Suggested Readings:
  1. Handout Chapter 7
  2. Textbook p298-323
Fri Oct 7 Chapter 7: Sampling Distributions
[slides] [code]

Chapter 8: Confidence Intervals
[slides] [code] 		Suggested Readings:
  1. Handout Chapter 7
  2. Textbook p298-323
  3. Handout Chapter 8.1
  4. Chapter 8 Mindmap
 HW 4 out

Study Guide out 		HW 3 due on Sunday
Mon Oct 10 Chapter 8: Confidence Intervals
[slides] [code] 		Suggested Readings:
  1. Handout Chapter 8.2.1
  2. Textbook p334-353, p365-368
 HW 3 Solution out

HW 2 Grade out
Tue Oct 11 Lab 4 Suggested Readings:
  1. Lab 4 Handout
Wed Oct 12 Chapter 8: Confidence Intervals
[slides] [code] 		Suggested Readings:
  1. Handout Chapter 8.2.1
  2. Textbook p334-353, p365-368
Fri Oct 14 Chapter 8: Confidence Intervals
[slides] [code]

Exam 1 Review 		Suggested Readings:
  1. Handout Chapter 8.2.1
  2. Textbook p334-353, p365-368
  3. Exam 1 Information
 Exam 1 Information out HW 4 due on Sunday
Mon Oct 17 Exam 1 Review Suggested Readings:
  1. Exam 1 Information
  2. Review on Probability (0923 Lecture Notes)
  3. Chapter 1-8 Mindmap
 HW 3 Grade out
Tue Oct 18 Old Exams Review Suggested Readings:
  1. Old Exams
 HW 4 Solution out
Wed Oct 19 Exam 1 Review Suggested Readings:
  1. Exam 1 Information
Thu Oct 20 Mid-term Exam 1
[Exam 1A] [Exam 1B] [Exam 1C] 		5:00pm - 6:30pm
Anderson Hall 310
Fri Oct 21 Chapter 8: Confidence Intervals
[slides] [code] 		Suggested Readings:
  1. Handout Chapter 8.2.2
  2. Textbook p354-364, p368-370
 HW 5 out
Mon Oct 24 Chapter 9: Hypothesis Tests
[slides] [code] 		Suggested Readings:
  1. Handout Chapter 9.1, 9.2
  2. Textbook p386-405
 HW 4 Grade out
Tue Oct 25 Lab 5 Suggested Readings:
  1. Lab 5 Handout
Wed Oct 26 Chapter 9: Hypothesis Tests
[slides] [code] 		Suggested Readings:
  1. Handout Chapter 9.1, 9.2
  2. Textbook p386-405
 Exam 1 Solutions out
Fri Oct 28 Chapter 9: Hypothesis Tests
[slides] [code] 		Suggested Readings:
  1. Handout Chapter 9.3, 9.4, 9.5
  2. Textbook p408-430
 HW 6 out
Mon Oct 31 Chapter 9: Hypothesis Tests
[slides] [code]

Chapter 10: Comparing Two Groups
[slides] [code] 		Suggested Readings:
  1. Handout Chapter 9.4, 9.5
  2. Handout Chapter 10.3, 10.2
  3. Textbook p460-462, p465-469, p487-492
 HW 5 due
Tue Nov 1 Lab 6 Suggested Readings:
  1. Lab 6 Handout
 HW 5 Solution out
Wed Nov 2 Chapter 10: Comparing Two Groups
[slides] [code] 		Suggested Readings:
  1. Handout Chapter 10.3, 10.2
  2. Textbook p460-462, p465-469, p487-492
 Exam 1 Grade out
Fri Nov 4 Chapter 10: Comparing Two Groups
[slides] [code]

Mid-term Exam 1 Q&A 		Suggested Readings:
  1. Handout Chapter 10.2
  2. Textbook p460-462, p465-469, p487-492
 HW 7 out HW 6 due on Sunday
Mon Nov 7 Chapter 14: Analysis of Variance
[slides] [code] 		Suggested Readings:
  1. Handout Chapter 14.1, 14.2
  2. Textbook p669-684
 HW 5 Grade out
Tue Nov 8 Lab 7 Suggested Readings:
  1. Lab 7 Handout
 HW 6 Solution out
Wed Nov 9 Chapter 14: Analysis of Variance
[slides] [code] 		Suggested Readings:
  1. Handout Chapter 14.1, 14.2
  2. Textbook p669-684
 Exam 2 Information out
Fri Nov 11 Exam 2 Review Suggested Readings:
  1. Exam 2 Information
 HW 7 due on Sunday
Mon Nov 14 Exam 2 Review Suggested Readings:
  1. Exam 2 Information
 HW 6 Grade out
Tue Nov 15 Old Exams Review Suggested Readings:
  1. Old Exams
 HW 7 Solution out
Wed Nov 16 Exam 2 Review Suggested Readings:
  1. Exam 2 Information
Thu Nov 17 Mid-term Exam 2
[Exam 2A] [Exam 2B] [Exam 2C] 		5:00pm - 6:30pm
Anderson Hall 310
Fri Nov 18 Class Canceled
Mon Nov 21 Chapter 3: Two-Variable Associations
[slides]

Chapter 11: Association Between Two Categorical Variables
[slides] [code] 		Suggested Readings:
  1. Handout Chapter 3
  2. Textbook p101-124
  3. Handout Chapter 11
  4. Textbook p516-530, p537-541
 HW 7 Grade out

Student Rating of Teaching open
Tue Nov 22 Lab Canceled (Thanksgiving)
Wed Nov 23 Class Canceled (Thanksgiving) HW 8 out
Fri Nov 25 Class Canceled (Thanksgiving)
Mon Nov 28 Chapter 11: Association Between Two Categorical Variables
[slides] [code]

Chapter 12: Regression Analysis
[slides] [code] 		Suggested Readings:
  1. Handout Chapter 11
  2. Textbook p516-530, p537-541
  3. Handout Chapter 12
  4. Textbook p569-582
Tue Nov 29 Lab 8 Suggested Readings:
  1. Lab 8 Handout
Wed Nov 30 Chapter 12: Regression Analysis
[slides] [code] 		Suggested Readings:
  1. Handout Chapter 12
  2. Textbook p569-582
Fri Dec 2 Chapter 12: Regression Analysis
[slides] [code] 		Suggested Readings:
  1. Handout Chapter 12
  2. Textbook p569-582
 HW 9 out HW 8 due on Sunday
Mon Dec 5 Chapter 12: Regression Analysis
[slides] [code] 		Suggested Readings:
  1. Handout Chapter 12
  2. Textbook p569-582
  3. Checking Linear Regression Assumptions
Tue Dec 6 Lab 9 Suggested Readings:
  1. Lab 9 Handout
 HW 8 Solution out
Wed Dec 7 Chapter 12: Regression Analysis
[slides] [code]

Mid-term Exam 2 Q&A 		Suggested Readings:
  1. Handout Chapter 12
  2. Textbook p569-582
  3. Checking Linear Regression Assumptions
 Final Exam Information out
Fri Dec 9 Final Exam Review Suggested Readings:
  1. Final Exam Information
Mon Dec 12 Final Exam Review Suggested Readings:
  1. Final Exam Information
 HW 9 due
Tue Dec 13 Old Exams Review Suggested Readings:
  1. Old Exams
 HW 9 Solution out
Wed Dec 14 Final Exam Review Suggested Readings:
  1. Final Exam Information
 Lectures end
Tue Dec 20 Final Exam
[Exam A] [Exam B] [Exam C] 		5:00pm - 7:00pm
Anderson Hall 310