List

Why Are We Still Teaching t-Tests? | Mad (Data) Scientist

 October 4, 2014 |  Moritz S. Schmid |  Reblog

Definitely worth a read by Prof. Norman Matloff

 

My posting about the statistics profession losing ground to computer science drew many comments, not only here in Mad (Data) Scientist, but also in the co-posting at Revolution Analytics, and in Slashdot.  One of the themes in those comments was that Statistics Departments are out of touch and have failed to modernize their curricula.  Though I may disagree with the commenters’ definitions of “modern,” I have in fact long felt that there are indeed serious problems in statistics curricula…

Source: Why Are We Still Teaching t-Tests? | Mad (Data) Scientist

Leave a Reply

Your email address will not be published. Required fields are marked *

ten + six =

This site uses Akismet to reduce spam. Learn how your comment data is processed.

  Posts

1 2 3
September 18th, 2018

Getting started with #deeplearning in R | #RStudio Blog

This is a reblog from the R Studio Blog by Sigrid Keydana, 2018-09-12   There are good reasons to get into deep […]
November 23rd, 2016

#ggforce for accelerating #ggplot2 in #dataviz

  This is a reblog from: Data Imaginist – Announcing ggforce: Accelerating ggplot2 by Thomas Lin Pedersen      November 22, 2016 […]
November 20th, 2016

Reblogged from: Dr. Paige Brown Jarreau, http://www.fromthelabbench.com Taking Facial Recognition to the Ocean – Automatic Identification of Tiny Arctic Animals   […]
November 16th, 2016

ggplot2 2.2.0 #dataviz #R #datascience @rstudio

Yes! The new ggplot is out and my favourite is definitely the updated faceting! This is a reblog from RStudio Blog by […]
November 16th, 2016

ggedit add-on for #ggplot2 #dataviz #R #datascience

This is a reblog from: R-statistics blog: Guest post by Jonathan Sidi, Metrum Research Group ggplot2 has become the standard of […]
August 27th, 2016

#R Packages for #Data Access

This is a reblog from R Packages for Data Access by Joseph Rickert Data Science is all about getting access to […]
August 16th, 2016

Getting Your Colleagues Hooked on #R

You love R and you want your colleagues to love R too. In our latest post we will walk you […]
August 14th, 2016

Convolutional #neuralnetwork in #R (MXNet package) #MachineLearning #DataScience

The Beginner Programmer: Image recognition tutorial in R using deep convolutional neural networks (MXNet package) This is a reblog of […]
June 3rd, 2016

Mad Hatter Explains Support Vector Machines #scicomm #machinelearning #SVM #datascience

This is a reblog from: Joel Caldwell. Thanks for this great story!   “Hatter?” asked Alice, “Why are support vector […]
May 11th, 2016

What’s the difference between machine learning, statistics, and data mining?

This is a reblog from SHARP SIGHT LABS. Thanks for that great article! However, I would like to point out […]