STAT515

Fall 2026


STATISTICAL METHODS I

Instructor: Yen-Yi Ho

Office: LeConte 216A

Class Meetings:

Monday/Wednesday 9:40AM - 10:55AM 

Classroom: LeConte 206


Dr. Ho's office Hours: Thursday at 16:30 PM - 17:30 PM, Friday at 11AM - 12PM or by appointment (LeConte 216A)

Email: hoyen@stat.sc.edu

Teaching Assistant: Alex Goebel

TA email: ajgoebel@email.sc.edu

TA office hours: Tuesday at 12PM -1 PM, Thursday at 12PM - 1 PM (LeConte 219A) or Virtual


Textbook:

  1. An Introduction to Statistical Methods & Data Analysis (R. Lyman Ott and Michael Longnecker) 7th Edition (Required)

 2. Introduction to Data Science: Data Wrangling and Visualization with R by

Rafael A. Irizarry   (Recommended)

                             

Resources:

1. Instruction for downloading R and R Studio.

2.  This is Statistics.org

Annoucements:

Approximate course outline: (Lecture notes will be updated often)

Date Weekly topic
Homework
R code
Reading
Week Aug 17
Syllabus


Getting Started with R and R Studio

Lecture 1: Describing Data (Part 1)

Lecture 2: Describing Data (Part 2)






Homework 1


Lab1.R

Ott & Ongnecker Chap 1, 2
Week Aug 24


 
Lecture 3: Sample Estimates Versus Population Measures


Lecture 4:  Probability
Chap 4.1-4.3

Classroom Activity: Spy or not


Lecture 5: Counting Techniques
Chap 4.1-4.5












Lab2.R








Spy_or_not_draw.R


Ott & Ongnecker Chap 3, 4
Week Aug 31


Lecture 6: Binomial and Poisson Distribution
Chap 4.6-4.8





  Homework 1 Due
Wednesday Sep 02

Homework 2






Ott & Ongnecker Chap 4
Week Sep 07

  Sep 07: Labor Day (No class)


Lecture 6: The Poisson Random Variable \& Continuous Random Variables
Chap 4.8-4.9











Ott & Ongnecker Chap 4
Week Sep 14




Lecture 7: The Normal Distribution
Chap 4.10

Lecture 8: Chap 4.8
(Poisson and Exponential)











Week Sep 21

 
Lecture 9: Chap 4.11-4.15; 10.1-10.2


Lecture 10: Chap 5.1-5.2;
 (Karl 10, 11, 12),
















Week Sep 28

Exam 1

Lecture 11: Chap 5.4-5.7; 10.3

(Karl 14)

Lecture 12: Chap 5.6 (Karl 15)











Week Oct 05

  Oct  05: Mid-point of the semester


   Lecture 13: Chap 5.8-5.10 (Bootstrap)

   Lecture 14: Chap 6.1-6.2 (Karl 16)








Week Oct 12
  
   Lecture 15: Chap 6.3

   Lecture 16: Chap 6.4







Week Oct 19

   Lecture 17: Chap 6.5

   Lecture 18: Chap 6.6 - 6.7











Week Oct 26
 
   Lecture 19: Chap 7.1-7.3

    Lecture 20: Chap 7.4-7.5
 









Week Nov 02

   Lecture 21:  Chap 8.1-8.3 (Karl 17)

   Lecture 22   Chap 8.4-8.5

 
 
  

 


Week Nov 9
 
    Lecture 23:

    Lecture 24







Week Nov 16

    Lecture 25
 
 

  
 




Week Nov 23

  Nov 23 - 29 (Thanksgiving No classes)








 



Week Nov 30
 
Dec 04: Last day of class



Week Dec 7 -14
 Final Exam
Dec 9 at 9:00AM