IS‘24: Slide Decks

Slide Decks

This holds links to all the slide decks I will use in class. This is (perhaps) the most important page, because it gives you the necessary information for what I will be covering in class — and for what I may be quizzing on at the start of class.

To be clear, I expect you to download and read the slide decks before class (the handout version ). I further expect either that you will take notes on the slides on your computer or that you will print out the handouts and take notes directly on them.

Several of the decks have an R script associated with them. For those that do, click on the icon. Working through these scripts will increase your familiarity with the R Statistical Environment.

For those interested in the previous versions of the slides, which come with lecture videos, please click here.

Finally, here is a link to all of the slide decks as a zip file. Feel free to download all of them at once. Note that it may take a while, because the file is about 90MB. Also, this file only contains the slidedecks as of the beginning of the course. If changes are made, they will not be reflected in these slides.

Module 1: Gathering Your Data
An Introduction to Statistics: Statistics is the study of reality
Deck a1	R4S Ch. 1	HLS §1.1

Sampling Theory: What information does the variable contain?
Deck a2	R4S § 4.1	HLS §1.2

Conducting a Statistical Study: The scientific method again rears its head
Deck a3		HLS §1.3

What Not to Do: How to avoid bias
Deck a4		HLS §1.4

Module 2: Knowing Your Data
Graphics for Categorical Variables: Illustrating discrete distributions
Deck b1		HLS §2.1

Graphics for Numeric Variables: How to summarize the data
Deck b2		HLS §2.2, 2.3

Measures of Point Values: Summarizing data with one number
Deck b3	R4S § 4.2	HLS §3.1

Measures of Uncertainty and Spread: A second statistic on the data
Deck b4	R4S § 4.3, 4.4	HLS §3.2, 3.3

Module 3: Probability Theory
Introduction to Probability: What is this monster?
See old version for a slide deck		HLS §4.1

Addition Rules for Probability: Unions and sums
See old version for a slide deck		HLS §4.2

Multiplication Rules for Probability: Independence, Bayes, and conditional probability
See old version for a slide deck		HLS §4.3

Combinations and Permutations: Determining what counts
See old version for a slide deck		HLS §4.4

Combining Probability and Counting Techniques: Bringing it all together
See old version for a slide deck		HLS §4.5

Discrete Random Variables: The foundations of half of probability
Deck c1	R4S § A.1	HLS §5.1

Bernoulli and Binomial Distributions: Counting successful trials
Deck c2	R4S § A.2, A.3	HLS §5.2

Poisson Distribution: Counting over time or space
Deck c3	R4S § A.7	HLS §5.3

Hypergeometric Distribution: Countig scefl r
Deck c4	R4S § A.6	HLS §5.4

Geometric Distribution: Counting failures until the first success
Deck c5	R4S § A.4

Negative Binomial Distribution: Counting failures until the r ^th success
Deck c6	R4S § A.5

The Uniform Distribution: The original* distribution*
Deck c7	R4S § B.1, B.2

The Exponential Distribution: Time until success
Deck c8	R4S § B.5

The Normal Distribution: Gauss gave it to us
Deck c9	R4S § B.3, C.1, C.2	HLS §6.1–4

Approximating the Binomial: Why do this now?
Deck cA	R4S § C.3	HLS §6.5

The Central Limit Theorem: The bridge of statistics
Deck cB	R4S § C.3	HLS Ch. 7

Module 4: Introductory Inference
Theory of the Confidence Interval: Estimating the parameter
Deck d1	R4S Ch. 5, 6	HLS §8.1–

Practice of the Confidence Interval: Using the computer to make life easier
Deck d2	R4S Ch. 5, 6	HLS §9.1–

Theory of Hypothesis Testing: Testing claims about reality
Deck d3	R4S Ch. 5, 6	HLS §10.1

Practice of Hypothesis Testing: Using the computer to make life easier
Deck d4	R4S Ch. 5, 6	HLS §10.2–

Module 5: Advanced Inference
Handling Means, I: One and two populations
Deck e1	R4S Ch. 5, 6	HLS §10.2

Handling Proportions: One and two populations
Deck e2	R4S Ch. 8	HLS §10.4

Handling Variances: One and two populations
Deck e3

A Goodness-of-Fit Test: Chi-square Goodness-of-Fit test
Deck e4		HLS §10.6

The Analysis of Variance Procedure: Comparing multiple means
Deck e5	R4S § 7.1, 7.2	HLS §11.6

Beyond the ANOVA Procedure: Which is different?
Deck e6	R4S § 7.3–7.5

Testing Categorical Independence: Chi-square test of independence
Deck e7	R4S Ch. 10	HLS §10.7

A History of Correlation: Is there a relationship?
Deck e8	R4S § 12.1	HLS §12.1

OLS Linear Regression: What is that relationship?
Deck e9	R4S § 12.2, 12.3	HLS §12.2, 12.3

Beyond Simple Linear Regression: Handling multiple independent variables
Deck eA	R4S § 12.4	HLS §12.4

Course Summation
Introductory Statistics: How Far We’ve Come

Important Note

Again: I expect you to download and read the slide decks before class. I further expect either that you will take notes on the slides on your computer or that you will print out the handouts and take notes directly on them. This is what a successful student does.

As I am altering the presentations as we move forward in this course (to keep this course current), I encourage you to download the slidedecks only one weekend in advance.


	Ole J. Forsberg, PhD Associate Professor Chair of Data Sciences Office: SMC E-212 Knox College 2 East South Street Campus Box K-6 Galesburg, IL, USA, 61401-4999	Some Links Knox College of Illinois Department: Mathematics Program: Data Science Program: Statistics R for Starters Project Scarlet Elections @Knox

Introductory Statistics

IS: Course Slide Decks

Slide Decks

Important Note