The first line of Leo Tolstoy’s classic novel, Anna Karenina, begins: “Happy families are all alike; every unhappy family is unhappy in its own way.” This is a very memorable line. But looking at the Wikipedia entry for the Anna Karenina Principle, I saw this version for statistical significance tests:
JMP was delighted to welcome Peter Goos and Bradley Jones, two thought leaders in the area of design of experiments (DOE), to our Marlow office in the UK last week to talk about best practice in DOE. Box, Hunter and Hunter explained in their seminal text, Statistics for Experimenters, that
When we thought about starting a new software system many years ago, we were very enamored of an article published in 1973 in American Statistician authored by Frank Anscombe called “Graphs in Statistical Analysis.” As you can read in Wikipedia, Anscombe cleverly devised four sets of data that had identical
Note: JMP 11 launched last week. Today, we begin a series on Tuesdays of Big Statistics blog posts by John Sall about what has to change when you have Big Data, with an emphasis on screening. Data preparation is a big part of an analyst’s job, and when you have
As I mentioned in an earlier post, Kaiser Fung has a new book out: Numbersense: How to Use Big Data to Your Advantage. I've read it and enjoyed it. It's helped me become a more critical consumer of analytical information, which is the aim of Kaiser's book. Here's an excerpt
“Statistics is a science in my opinion, and it is no more a branch of mathematics than are physics, chemistry and economics; for if its methods fail the test of experience – not the test of logic – they are discarded.” - John Wilder Tukey “Box plot,” “stem and leaf plot,”
In celebration of the International Year of Statistics, we reached out to a few British statisticians to ask them to share a few thoughts on statistics as a discipline, statisticians and applied statistics. The United Kingdom has a rich statistical history, and we are pleased to share some of these
Kaiser Fung, author of the popular blog Junk Charts, has a new book out called Numbersense: How to Use Big Data to Your Advantage. It's a fascinating and highly accessible read, full of humor and even some graphs derived from JMP. I enjoyed learning about such things as the U.S.
JMP has a rather straightforward distribution analysis using histograms accompanied with various statistics such as mean, standard deviation and the quantiles. But if you care about gaps in your data, whether small or large, histograms might not be your best bet. Another basic statistical tool, the dot plot, can reveal
Congratulations to Peter Goos and Bradley Jones for winning the 2012 Ziegel Prize for their book, Optimal Design of Experiments: A Case Study Approach. Jones, who is Principal Research Fellow at JMP and a world-renowned researcher in design of experiments, received the prize certificate (right) Tuesday at JSM 2013 in