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For questions about the teaching of probability and statistics, at any level.

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17 views

Master's-level Quantitative Methods / Statistics textbook for Management, Marketing, Economics students

What are some good textbooks for a master's (or upper undergraduate) level course in Quantitative methods / Statistics for students in Management, Marketing or Economics?
6
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1answer
61 views

Why start with measures of central tendency?

In teaching descriptive statistics, measures of central tendency come up early on, e.g. before measures of spread. For me it is natural enough to learn about central tendency, or location, of the data ...
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1answer
16 views

Parameter errors in linear least squares

I would like to help my (Chemistry) students understand the math behind linear regression.(1) The generally accepted approach for my discipline is to omit any use of calculus and introduce matrix ...
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0answers
19 views

What are the seminal pictures for introductory statistics?

This question is in reference to introductory statistics or research methods classes where students are asked to learn the basics of statistical inference. Early when I started teaching statistics, I ...
3
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1answer
60 views

Teaching (very elementary) statistical modelling

I've been asked to contribute some lectures (or parts of lectures) to a course on "Mathematical Modelling", from a statistical perspective. This is to a rather mixed group of Mathematics ...
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0answers
18 views

Including evolutionary methods in machine learning course

My team is developing a broad introductory course on machine learning for first year college students, and my questions is this: would it be reasonable to include evolutionary methods in such a course?...
2
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1answer
32 views

How would you explain the relative importance of exploratory correlations for multiple regression models?

I am asking this from a pedagogic perspective:  ¿How do others explain (to their students or clients) the need to examine correlations between subsets of variables in multiple regression (MR) ...
2
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0answers
31 views

Teaching models from a distribution-centric perspective

I often read blogs from professors of statistics talking about how they prefer to teach models from a "distribution-centric" perspective rather than otherwise. However, I've never really been able to ...
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1answer
52 views

Teaching question: Good textbook for basic online statistics course

I will teach an online course on Intro Stats at an Economics Department of a non-flagship public university in the US. I want to cover descriptive stats, basic probability (with common discrete and ...
2
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1answer
65 views

Teaching econometrics to a layman

I help a friend of mine to understand material in an econometrics course. This is also a good exercise for me since soon I will start as a TA. The challenge is that she does not have sufficient ...
3
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1answer
104 views

How Can I teach someone “sampling from a given distribution” is hard?

For many people I know, they do not think sampling from a given distribution is a hard problem in general. For example, many software provide functions do to sample from normal distribution or uniform ...
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2answers
63 views

What's wrong with this approach to computing power?

I've just been given an old set of lecture notes to look at. One of them contains the following question: if we are undertaking a paired $t$-test with a mean of differences $d=1$ and standard ...
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2answers
86 views

Is Bayes-Ball algorithm enough to argue that correlation can imply causality?

You always hear that correlation does not imply causation. But taking a Bayesian perspective, can one counterargue this statement? I was reading the paper linked below (Bayes-Ball argument), and it ...
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6answers
1k views

Simple real world examples for teaching Bayesian statistics?

I would like to find some "real world examples" for teaching Bayesian statistics. Bayesian statistics allows one to formally incorporate prior knowledge into an analysis. I would like to give ...
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1answer
231 views

When (incorrectly) explaining p-values, is the word “chance” inherently the problem?

So I understand that saying that a p-value is the probability of a particular result coming about by chance is incorrect as per community consensus, the American Statistical Association, etc. My ...
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0answers
25 views

Order in which to teach confidence intervals

It seems much more logical to me to teach confidence intervals for large samples first, when the CLT (just taught) implies that that the sample means are normally distributed, no matter the ...
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0answers
16 views

What is the best syllabus for an under-grad class in Statistics for engineer students?

I teach statistics to under-grad engineer students who major in Information Technology (IT). My students first learn a (prerequisite) course on probability where they learn combinatorics, different ...
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5answers
2k views

Is linear regression obsolete? [closed]

I am currently in a linear regression class, but I can't shake the feeling that what I am learning is no longer relevant in either modern statistics or machine learning. Why is so much time spent on ...
6
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1answer
226 views

Generate simulated data with predefined partial correlation structure

I teach statistics (undergraduate level). It's an introduction course to statistics and very basic. Something that I find very time-consuming is to create training data for the students. I use the ...
14
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1answer
692 views

An intuitive explanation why the Benjamini-Hochberg FDR procedure works?

Is there a simple way of explaining why does Benjamini and Hochberg's (1995) procedure actually control the false discovery rate (FDR)? This procedure is so elegant and compact and yet the proof of ...
10
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4answers
2k views

Which of the following statistics courses are the most applicable and useful in finance/tech industry? [closed]

I'm in the process of selecting 3 statistics classes to take for my Applied Math course cluster (doing my concentration in actuarial science or statistical analysis). Which 3 classes out of the ...
0
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0answers
34 views

Research literature in learning statistics: Knowledge about statistics routines/procedures, procedural knowledge, individual differences?

I am a doctoral student in psychometrics. I got interested in how to teach students to learn statistics. The argument I try to make is that students need to learn both (1) conceptual knowledge and (2) ...
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0answers
405 views

Demonstrating Overfitting in a Simple Model

I have been working with a finance team to help forecast revenue for some product data. Particularly when the series are short and difficult to forecast, their first response is to add a bunch of "...
29
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8answers
2k views

Should I teach Bayesian or frequentist statistics first?

I am helping my boys, currently in high school, understanding statistics, and I am considering beginning with some simple examples without disregarding some glimpses to theory. My goal would be to ...
4
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1answer
549 views

Famous historical example(s) of Type II error

It's very easy to find famous examples of Type I errors in the histories of various fields. However, I'm struggling to find even one clear example of a Type II error. For my purposes, I'm ...
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0answers
23 views

A verifiable and teachable Gibbs example

I am attempting to construct a teachable example of Gibbs sampling that I can also relate to how it might be used on an actual dataset and yet could also be verified analytically by students with ...
3
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1answer
512 views

How do I explain the “line of best fit” in this diagram?

I teach an intro statistics class at my university (as a graduate student) and I was scouring the internet for interesting graphs on the history of linear regression when I came upon this picture, ...
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1answer
43 views

presenting a simple introduction to variation Bayes

I am planning to present a simple introduction to variational Bayesian inference during a lab research meet (45 mins). My audience is mainly from a psychometrics, psychology, educational sciences ...
3
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1answer
83 views

Probability for 3rd grade

My 3rd grader studied probabilities at school. At home I decided to demonstrate how it works in practice. So we throw a quarter 50 times. 39 was head, 11 was tail, and I miserably failed to demo half/...
3
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1answer
83 views

Defining the normal distribution

I am preparing some materials for an introduction to sample size calculation for life sciences graduate students with no or very limited previous statistical experience. Right at the start I will be ...
3
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1answer
63 views

Video Lectures on Regression Modeling and Analysis

I am hoping to build a collection of free video lectures that teach how to: Model regression problems. Interpret regression coefficients and the overall fit. Happy to make this CW if helpful. ...
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3answers
3k views

What should be taught first: Probability or Statistics?

I have newly joined as a faculty member in a math dept. of a reputed institution. I will be teaching the course Probability and Statistics at the undergraduate level. The institution already has a ...
3
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1answer
267 views

Understanding normal probability plots

I am a teacher that will be teaching about Normal Probability Plots. This topic is new to me and I would be grateful for any help. Essentially the specification for the course expects students to ...
6
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1answer
1k views

Why are regression coefficients in a factor analysis model called “loadings”?

In this thread @ttnphns writes that Because it is regression coefficients [...] I insist that it is better to say "factor loads variable" than "variable loads factor". I learned from here that a ...
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0answers
40 views

Pedagogical example of feature selection for model building

I am looking for a good pedagogical example use of feature selection for model building. The purpose is to expose students to some very basic methods for feature selection, in the context of boolean ...
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0answers
125 views

Prevalence of the “vote counting” method in literature reviews

In my youth I can remember reading some papers (in psychology most likely) which as part of their literature review included a table of past results with no details provided other than whether the p-...
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0answers
82 views

Instructive figure to explain Maximum Likelihood confidence bands / standard errors

I am trying to better understand and explain maximum likelihood estimation. To explain the intuition of many ML aspects I find it easiest to explain them graphically, like for example the ML-based ...
8
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1answer
109 views

Bayesian model comparison in high school

I teach physics to high-school students, and I would like my students to conduct a rudimentary Bayesian model comparison for data from their experiments. I figured out a way for them to do so (see ...
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4answers
16k views

Why do we say the outcome variable “is regressed on” the predictor(s)?

Is there some intuitive explanation for this terminology? Why is it this way, and not the predictor(s) being regressed on the outcome? Ideally I'm hoping that a proper explanation of why this ...
3
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1answer
126 views

Is there a standard, easy to understand example of application of statistics in the accounting profession?

A course that is offered in most business undergraduate programs is an introductory statistics course that is often titled 'Business Statistics'. The examples used in these courses to motivate the ...
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1answer
708 views

Categorical or Quantitative?

A colleague and I had a conversation about whether the following variables are categorical or quantitative. 1) Social security numbers 2) Phone numbers 3) Postal zip codes We agreed that all three ...
6
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1answer
207 views

Help explaining (offering intuition/examples of) the score function and fisher's information to students

Next week I will teach my students the score function and its variance (i.e.: fisher information). I am looking for way(s) to illustrate these concepts so to help my students understand them (and not ...
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2answers
193 views

What are the Fundamentals of Applied Statistics?

Would the knowledge of the following topics suffice for a crash course on fundamentals of applied statistics? Basics of Probability Descriptive Statistics Estimation Theory Hypothesis Testing The ...
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1answer
249 views

how to get the stationary distribution of MCMC (Markov Chain Monte Carlo) model

Based on my reading some course notes as well as the answers and comments to this SO post I started thinking about the general steps for creating a stationary distribution. Assuming my problem were ...
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0answers
51 views

What is a very intuitive way to teach the Bayes formula to undergraduates?

I have to teach the Bayes formula to some undergraduates, in the form: $$ P(A|B) = \frac{P(A \cap B)}{P(B)} = \frac{P(B|A)P(A)}{P(B)} $$ I was wondering if anyone had any really thoughtful or ...
8
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1answer
505 views

What should a graduate course in experimental design cover?

I have been asked to propose a course in experimental design for advanced graduate students in agronomy and ecology. I have never taken such a course, and was surprised to find that the course might ...
6
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1answer
395 views

Statistical anecdotes [closed]

I was inspired by this question on statistics jokes and wanted to start a similar thread on statistical anecdotes. These are famous stories from the past where statistics have been used to solve some ...
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0answers
100 views

Examples to expose fundamental problems when using predictive models

The way some people learn statistics feels (in some sense to me) overly method oriented. The problem is not the teaching material itself. The teaching material usually contains good illustrative ...
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5answers
1k views

Should we teach kurtosis in an applied statistics course? If so, how?

Central tendency, spread and skewness can all be defined relatively well, at least on an intuitive basis; the standard mathematical measures of these things also correspond relatively well to our ...
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1answer
87 views

Material for teaching R to medical students [closed]

I am planing to start teaching R to undergraduate medical students. I am looking for any material that can help in doing so. These students did not have any experience using R. Another question: Is ...