Schedule
Discussion
Lecture: Monday/Wednesday: 3:30pm-4:45pm @ MH 504
Lab: Monday/Wednesday: 5:00pm-5:50pm @ MH 501
Office Hours
Please stop by office hours and introduce yourself! Office hours are useful for one-on-one help on assignments, discussion of topics discussed in the reading, or broader questions about statistics and data science
Office Hours: MH 128D or Zoom (link on CANVAS)
Monday: 11:00am - 12:50pm
Wednesday: 11:00am - 12:50pm
If you can not attend the scheduled office hours I am available for a one-on-one appoitment, follow the directions on setting up an appointment
For reference here is my schedule
Tentative Schedule
Week | Monday | Wednesday | Readings |
---|---|---|---|
1 | Introduction to Data | Principles & Experiments |
Mon: 1.1-1.2 Wed: 1.3-1.4 |
2 | Labor Day | Examining Numerical Data Quiz #1 |
Wed: 2.1 |
3 | Considering Categorical Data |
Introduction to Probability |
Mon: 2.2-2.3 Wed: 3.1-3.2 |
4 | Conditional Probability | Random Variables Quiz #2 |
Mon: 3.2 Wed: 3.4 |
5 | Binomial Distribution | Continuos Distributions/ Normal Distribution |
Mon: 4.2.1/4.3.1 Wed: 3.5/4.1 |
6 | Normal Approximation to Binomial Distribution & REVIEW |
Exam #1 | Mon: 4.3.2-4.3.3 |
7 | Point Estimates & Sampling Variablity |
Confidence Intervals for Proportions | Mon: 5.1 Wed: 5.2 |
8 | Hypothesis Testing for a Proportion | Inference for a Single Proportion Quiz #3 |
Mon: 5.3 Wed: 6.1 |
9 | Difference of Two Proportions |
Testing for Goodness of Fit using Chi-Square |
Mon: 6.2 Wed: 6.3.1-6.3.4 |
10 | Testing for Independence in Two-Way Tables |
One-Sample Means with the t-distribution Quiz #4 |
Mon: 6.4 Wed: 7.1 |
11 | Pair Data/ Difference of Two Means |
Power Calculations | Mon: 7.2/7.3 Wed: 7.4 |
12 | Veteran's Day | Exam #2 | NONE |
13 | Comparing Many Means | Introduction to Linear Regression |
Mon: 7.5 Wed: 8.1-8.2.3 |
14 | Least Squares Regression/ Outliers (ONLINE) |
Fall Recess | Mon: 8.2.5-8.2.7,8.3 |
15 | Inference for Linear Regression |
Introduction to Multiple Regression Quiz #5 |
Mon: 8.4 Wed: 9.1 |
16 | Model Selection | REVIEW | Mon: 9.2 |