Statistics
"Thank you and thank you again for providing a complete, well-structured, and easy-to-understand online resource. Every other website or snobbish research paper has not deigned to explain things in words consisting of less than four syllables. I was tossed to and fro like a man holding on to a frail plank that he calls his determination until I came across your electronic textbook...You have cleared the air for me. You have enlightened.
Distribution Fitting, Formulate Hypotheses
General Purpose In some research applications, we can formulate hypotheses about the specific distribution of the variable of interest. For example, variables whose values are determined by an infinite number of independent random events will be distributed following the normal distribution: we can think of a person's height as being the result of very many independent factors such as numerous specific genetic predispositions, early childhood diseases, nutrition, etc. (see the animation below for an example of the normal distribution). As a result, height tends to be normally distributed in the U.S. population. On the other hand, if the values of a variable are the result of very rare events, then the variable will be distributed according to the Poisson distribution (sometimes called the distribution of rare events).
Statistics Tutorial - Instructions
Application This tutorial is based on a set of data and an experiment taken from your own field of study. The Application or Interpretation section uses this data, and the study that generated it, to allow you to try out each statistical technique on real data. At the first level, you are shown the statistics that have been calculated from the data and tested on your understanding of what they mean.
Advice for stats students on the academic job market
Job hunting season is upon us. Openings are already being posted here, here, and here. So you should have your CV, research statement, and web page ready. I highly recommend having a web page. It doesn’t have to be fancy. Here, here, and here are some good ones ranging from simple to a bit over the top.
Variables in Statistics
In statistics, a variable has two defining characteristics: A variable is an attribute that describes a person, place, thing, or idea. The value of the variable can "vary" from one entity to another. For example, a person's hair color is a potential variable, which could have the value of "blond" for one person and "brunette" for another. Qualitative vs.
OpenIntro
Starting with the basics: how data are collecting, how to compute basic summaries, and how to generate common plots. Chapter 1 Slides, PDF LaTeX Source for Slides
Introduction - Handbook of Biological Statistics
Quick-R: Home Page
Highland Statistics Ltd
jtleek/dataanalysis
swirldev/swirl_courses: A collection of interactive courses for the swirl R package.
