Stat 401 Course Calendar

Introduction to data: collecting, visualizing and summarizing

No lab this week

ISRS Ch. 1

 

Designing experiments and observational studies

Mon: Labor Day - No Class

Lab 1: Introduction to R and RStudio

ISRS Ch. 1 (cont)

Fri Sep 6:
HW 1 Due

Probability and expected value

Lab 2: Data Visualization in R

Read the "Probability" and
"Expected Value" supplemental
readings in D2L.
Optional: ISRS Appendix A

Mon Sep 16:
HW 2 Due

Probability distributions: Binomial and Normal

Lab 3: Probability Distributions in R

OI Sec 2.4-2.5, 3.1-3.2, 3.4

 

 

Introduction to inference: hypothesis testing,
randomization tests, exact binomial inference

Lab: Make-up class for Friday

Fri: No class

ISRS Sec. 2.1-2.4

 

Inference through the normal approximation:
Central Limit Theorem, z-tests and intervals for proportions

Lab 4: Randomization and Binomial Tests in R

ISRS Sec. 2.5-2.8, 3.1-3.2

Mon Sep 30:
HW 3 Due

Chi-squared tests for two-way tables

Optional lab will be an open Q&A.

ISRS Sec. 3.3-3.4

Mon Oct 7:
HW 4 Due

Fri Oct 11:
HW 5 Due

Review for Midterm Exam 1; t-tests and intervals
for means

Wed Oct 16: Midterm Exam 1, 12:10-2pm in
Wilson Hall 1-131 (Not our regular classroom!!)

• Midterm Exam 1 will cover: 
  ISRS Chapters 1-2 and Sections 3.1-3.2;
  OI Sec 2.4-2.5, 3.1-3.2, 3.4;
  supplemental readings on "Probability" and "Expected Value";
  and exact binomial inference (from slides)

ISRS Sec. 4.1-4.3

 

Inference for numerical data (cont):
t-tests and intervals for means, one-way ANOVA;
alternate measures of association in two-way tables

Lab 5: Built-in R Functions for Inference

ISRS Sec. 4.1-4.3, 4.4

 

Linear regression

Lab 6: Linear Regression in R

ISRS Sec. 4.5, 5.1-5.4

Mon Oct 28:
- HW6 Due
- Project data
set and RQ's due

Linear regression

Optional lab will be an open Q&A.

(cont)

Fri Nov 8:
- HW7 Due
- Project
data analysis proposal due

Mon: Veteran's Day - No Class

Wed Nov 13: Midterm Exam 2, 12:10-2pm in
Roberts Hall 208 (Not our regular classroom!!)

• Midterm Exam 2 will cover:
  ISRS Section 3.4 and Chapters 4-5

 

 

Multiple linear regression and modeling

Lab 7: Linear Models in R

ISRS Sec. 6.1-6.3

Fri Nov 22:
Project draft
report due

Multiple linear regression and modeling

Wed-Fri: Thanksgiving - No Classes

(cont)

 

 

Logistic regression

Wed lab will be used for project presentations.

ISRS Sec. 6.4

Mon Dec 2:
Project peer assessments due

Wed Dec 4:
Project in-class presentations

Fri Dec 6:
HW8 due

 

Mon Dec 9:
Project written
report due

Wed Dec 11:
Project group evaluations due