statistics

May Member Training: Seven Fundamental Tests for Categorical Data

In the world of statistical analyses, there are many tests and methods that for categorical data. Many become extremely complex, especially as the number of variables increases. But sometimes we need an analysis for only one or two categorical variables at a time. When that is the case, one of these seven fundamental tests may come in handy.

These tests apply to nominal data (categories with no order to them) and a few can apply to other types of data as well. They allow us to test for goodness of fit, independence, or homogeneity—and yes, we will discuss the difference! Whether these tests are new to you, or you need a good refresher, this training will help you understand how they work and when each is appropriate to use.

The Wisdom of Asking Silly Statistics Questions

by Karen Grace-Martin Leave a Comment

I’ve written about this before–there is just something about statistics that makes people feel…well, not so smart.

This makes people v-e-r-y reluctant to ask questions.

This fact really struck me years and years ago. Hit me hard.

Member Training: Communicating Statistical Results to Non-Statisticians

by guest Leave a Comment

One of the biggest challenges that data analysts face is communicating statistical results to our clients, advisors, and colleagues who don’t have a statistics background.

Unfortunately, the way that we learn statistics is not usually the best way to communicate our work to others, and many of us are left on our own to navigate what is arguably the most important part of our work.

In this webinar, we will cover how to: [Read more…] about Member Training: Communicating Statistical Results to Non-Statisticians

R Is Not So Hard! A Tutorial, Part 13: Box Plots

by guest 4 Comments

by David Lillis, Ph.D.

In Part 13, let’s see how to create box plots in R. Let’s create a simple box plot using the boxplot() command, which is easy to use. First, we set up a vector of numbers and then we plot them.

Box plots can be created for individual variables or for variables by group [Read more…] about R Is Not So Hard! A Tutorial, Part 13: Box Plots

R is Not So Hard! A Tutorial, Part 12: Creating Histograms & Setting Bin Widths

by guest 2 Comments

by David Lillis, Ph.D.

This is Part 12 in my R Tutorial Series: R is Not so Hard. Go back to Part 11 or start with Part 1.

I’m sure you’ve heard that R creates beautiful graphics.

It’s true, and it doesn’t have to be hard to do so. Let’s start with a simple histogram using the hist() command, which is easy to use, but actually quite sophisticated.

First, we set up a vector of numbers and then we create a histogram.

B <- c(2, 4, 5, 7, 12, 14, 16)
hist(B)

That was easy, but you need more from your histogram. [Read more…] about R is Not So Hard! A Tutorial, Part 12: Creating Histograms & Setting Bin Widths

Ten Ways Learning a Statistical Software Package is Like Learning a New Language

by Karen Grace-Martin Leave a Comment

Someone recently asked me if they need to learn R. In responding, it struck me that this is another way that learning a stat package is like learning a new language.

The metaphor is extremely helpful for deciding when and how to learn a new stat package, and to keep you going when the going gets rough. [Read more…] about Ten Ways Learning a Statistical Software Package is Like Learning a New Language