On Tue 11 Nov, we will hold the midterm exam. You will not need a calculator. What you will need is a pen and a good understanding of the course material.
To prepare, please study the midterm review. If you work through it, you'll be very well-prepared.
Dear Students,
An opportunity that may interest you: Prof. James Kahn has arranged a tour of the New York Fed on Wednesday, December 3, at 1:30pm.
He arranged the tour for his Money and Banking classes, but all are welcome. The tour would be especially interesting to students of economics ... and to Bruce Willis fans (because the tour includes the legendary gold vault featured in "Die Hard with a Vengeance").
The tour is about an hour. So you would have to leave the Wilf Campus prior to 12:30pm and you probably return at around 3:30pm.
If you're interested, please either reply to me or indicate your interest at the Canvas Quiz, which I created for this purpose. I will then pass your information to Prof. Kahn and I hope you'll have fun.
Sincerely,
- EMW
This week (28 and 30 Oct) we'll discuss the Normal Distribution. To prepare, please read Illowsky and Dean, chaps. 5 and 6.
Then, next week (04 and 06 Nov), we'll discuss Parameter Estimation. To prepare, please read Illowsky and Dean, chaps. 7 and 8.
This afternoon, we'll resume our discussion of probability and the binomial distribution. To prepare, please read Illowsky and Dean, chaps. 3 and 4.
The midterm exam is several weeks away. Nonetheless, several students have asked for a midterm review. If you work through it, you'll be very well-prepared for the midterm exam.
I hope you're enjoying the holidays. We will meet via Zoom on Thu 16 Oct to resume our discussion of probability and the binomial distribution. To prepare, please read Illowsky and Dean, chaps. 3 and 4.
Below are the details for tomorrow's meeting:
I hope you're enjoying the holidays. We will meet via Zoom on Tue 30 Sep and on Thu 16 Oct to discuss probability and the binomial distribution. To prepare, please read Illowsky and Dean, chaps. 3 and 4.
Below are the meeting details for our session on Tue 30 Sep:
On Thu 18 Sep, we'll explore a dataset from a clinical trial. Below are links to:
This message outlines the lesson plans for our sessions on Tue 16 Sep and Thu 18 Sep.
On Tuesday, we'll discuss lecture 2 on measures of central tendency and measures of variability. To prepare, please read Illowsky and Dean, chap. 2.
Then, as promised, on Thursday, we'll discuss the dataset from medicine. I'm still finishing the discussion questions. I'll post it on Sunday morning (14 Sep).
This message outlines the lesson plans for our sessions on Tue 02 Sep and Thu 04 Sep as well as for our sessions on Tue 09 Sep and Thu 11 Sep.
After finishing our introductory discussions of the Octopus Test and the effect of the minimum wage, we will begin the theoretical component of the course with an introduction to data analysis. After that, we'll discuss measures of central tendency and measures of variability.
To prepare, please read Illowsky and Dean, chaps. 1 and 2. Then please begin working on homework 2.
Welcome to Statistics. This website helps me organize the course. I hope you find it helpful.
I have posted a copy of the syllabus. Please review it and the materials listed on the statistics page. And in case you ever need them, I keep old messages on the message board page. I hope this way of organizing the course helps.
The textbook that we will use is Illowsky and Dean's (2023) Introductory Statistics, 2e. As a publication of OpenStax – a non-profit initiative that creates peer-reviewed, openly licensed textbooks – it's available in PDF and web versions at no cost and it's available in a printed version at low-cost.
To conduct a statistical analysis, we'll use Gretl because its drop-down menus make it easy to learn statistics. And it's open-source, so its price is zero and its users continuously enhance the software.
I'd like to begin the semester with a pair of introductory discussions that will help you appreciate the theory that we'll discuss this semester.
In the first discussion, I'd like to compare Statistics and Machine Learning. The specific topic will be the "octopus test" that Bender and Koller developed in their 2020 paper, "Climbing towards NLU." To help you understand it, I have prepared some notes on Bender and Koller's paper. And for fun, be sure to read Appendix A of the paper. It's hilarious.
In the second discussion, I'd like to focus on a policy issue that we'll discuss later in the semester. The specific topic will be how the minimum wage affects employment. For that discussion, please study my monopsonist and minimum wage problem and please read my analysis of minimum wage, employment and annual pay.
I hope you'll enjoy the discussions. I'm looking forward to working with you this semester.
Sincerely,
- Eryk Wdowiak
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