STA 101 Data Analysis and Statistical Inference

Below is a prospective outline for the course, but things may change with advanced notice:

WEEK

DATE

TOPIC

PREPARE

MATERIALS

DUE

1 Tue, Aug 27

Welcome!





Thu, Aug 29

Getting started

πŸ“– ims: Ch 1
πŸ’» tutorial: 01-data-01

lecture-2
(filled-in)

Getting to know you @ 3PM


Fri, Aug 30

Lab 1: Hello R!


lab-1


2 Tue, Sep 3

Numerical data and study design

πŸ“– ims: Ch 2
πŸ’» tutorial: 01-data-02
πŸ’» tutorial: 01-data-03

slides
lecture-3
(filled-in)



Thu, Sep 5

Categorical data

πŸ“– ims: Ch 4
πŸ’» tutorial: 02-explore-01

lecture-4
(filled-in)



Fri, Sep 6

Lab 2: data

πŸ“– ims: Ch 3
πŸ’» tutorial: 01-data-04

lab-2

Lab 1 @ 8AM

3 Tue, Sep 10

Checkpoint: exploratory data analysis

πŸ“– ims: Ch 5
πŸ’» tutorial: 02-explore-02

slides



Thu, Sep 12

Simple linear regression

πŸ“– ims: Ch 7
πŸ’» tutorial: 03-model-01
πŸ’» tutorial: 03-model-02

slides
Play around!
Play around some more!
Primer



Fri, Sep 13

Lab 3: exploratory data analysis

πŸ“– ims: Ch 6
πŸ’» tutorial: 02-explore-03

lab-3

Lab 2 @ 8AM

4 Tue, Sep 17

Multiple linear regression

πŸ“– ims: Ch 8.1 - 8.2

slides
Primer



Thu, Sep 19

\(R^2\)

πŸ“– ims: Ch 8.3 - 8.4

slides
Primer



Fri, Sep 20

Lab 4: regression


lab-4

Lab 3 @ 8AM

5 Tue, Sep 24

Model selection

πŸ“– ims: Ch 8.4 - 8.5




Thu, Sep 26

Model selection

πŸ“– ims: Ch 7
πŸ“– ims: Ch 8

slides



Fri, Sep 27

Lab: exam review



Lab 4 @ 8AM

6 Tue, Oct 1

In-class Exam 1

Practice exams (Canvas)
Make your cheet sheet!




Thu, Oct 3

No lecture



Take-home Exam 1 @ 5PM


Fri, Oct 4

No lab




7 Tue, Oct 8

Logistic Regression 1

πŸ“– ims: Ch 9

slides



Thu, Oct 10

Logistic Regression 2
Ethics

πŸ“– ims: Ch 9

slides
Primer



Fri, Oct 11

No lab




8 Tue, Oct 15

No lecture





Thu, Oct 17

Introduction to statistics
Interval estimation 1

πŸ“– ims: Ch 12
πŸ’» tutorial: 04-foundations-04

slides
Primer
Play around!



Fri, Oct 18

Lab 5: confidence intervals


lab-5


9 Tue, Oct 22

Interval estimation 2

πŸ“– ims: Ch 12
πŸ’» tutorial: 04-foundations-04

slides



Thu, Oct 24

Hypothesis testing 1

πŸ“– ims: Ch 11
πŸ“– ims: Ch 14

slides



Fri, Oct 25

Lab 6: hypothesis testing


lab-6
Primer

Lab 5 @ 8AM

10 Tue, Oct 29

Hypothesis testing 2

πŸ“– ims: Ch 11
πŸ“– ims: Ch 14
πŸ’» tutorial: 04-foundations-01
πŸ’» tutorial: 04-foundations-02
πŸ’» tutorial: 04-foundations-03

slides
Primer



Thu, Oct 31

Hypothesis testing recap
Intro to central limit theorem

πŸ“– ims: Ch 13

slides
Primer



Fri, Nov 1

Lab 7: statistical inference overview


lab-7

Lab 6 @ 8AM

11 Tue, Nov 5

Inference for one proportion

πŸ“– ims: Ch 16

Primer



Thu, Nov 7

Inference for mathematical models

πŸ“– ims: Ch 13
πŸ“– ims: Ch 16

notes



Fri, Nov 8

Lab: exam review



Lab 7 @ 8AM

12 Tue, Nov 12

In-class Exam 2

Practice exams (Canvas)
Make your cheet sheet!




Thu, Nov 14

No lecture



Take-home Exam 2 @ 5PM


Fri, Nov 15

No lab




13 Tue, Nov 19

Inference for one mean

πŸ“– ims: Chp 19




Thu, Nov 21

The t-test for one mean

πŸ“– ims: Chp 19
πŸ’» tutorial: 05-infer-05
πŸ’» tutorial: 05-infer-06

slides



Fri, Nov 22

(project work period)



Project proposal @ 5PM

14 Tue, Nov 26

Probability potpourri, or,
β€œHumans stink at reasoning
about this stuff.”


The birthday problem
The Galton board
Prediction markets
The Monty Hall problem



Thu, Nov 28

No lecture





Fri, Nov 29

No lab




15 Tue, Dec 3

Inference for two means

πŸ“– ims: Chp 20
πŸ“– ims: Chp 21
πŸ’» tutorial: 05-infer-07

slides



Thu, Dec 5

Project tips
More logistic regression

πŸ“– fdv: Chp 29

Slides
More slides



Fri, Dec 6

(project work period)




16 Sun, Dec 15

No meeting



Final project @ 5PM