<--- Back to Details
First PageDocument Content
Statistics / Statistical theory / Statistical tests / Hypothesis testing / Statistical inference / Categorical data / Design of experiments / Statistical hypothesis testing / Null hypothesis / Probability distribution / Randomness / Chi-squared test
Date: 2014-03-09 16:16:05
Statistics
Statistical theory
Statistical tests
Hypothesis testing
Statistical inference
Categorical data
Design of experiments
Statistical hypothesis testing
Null hypothesis
Probability distribution
Randomness
Chi-squared test

Language is never, ever, ever, random ADAM KILGARRIFF Abstract Language users never choose words randomly, and language is essentially non-random. Statistical hypothesis testing uses a null hypothesis, which

Add to Reading List

Source URL: www.kilgarriff.co.uk

Download Document from Source Website

File Size: 75,23 KB

Share Document on Facebook

Similar Documents

GRADUATE SEMINAR Olusesan Ogunsanya Hypothesis testing for three main Reliability models MSc Student supervised by Andrei Volodin Wednesday, April 4th

GRADUATE SEMINAR Olusesan Ogunsanya Hypothesis testing for three main Reliability models MSc Student supervised by Andrei Volodin Wednesday, April 4th

DocID: 1xVb7 - View Document

Evolutionary Psychology and Human Reasoning: Testing the Domain-Specificity Hypothesis through Wason Selection Task Fabrizio Ferrara ()* Amedeo Esposito ()* Barbara Piz

Evolutionary Psychology and Human Reasoning: Testing the Domain-Specificity Hypothesis through Wason Selection Task Fabrizio Ferrara ()* Amedeo Esposito ()* Barbara Piz

DocID: 1viUq - View Document

Hypothesis testing and infection prevalence Ross A. Alford, School of Marine and Tropical Biology, James Cook University, Townsville, Queensland 4811, Australia. Email  Presented at the 2004 meeting

Hypothesis testing and infection prevalence Ross A. Alford, School of Marine and Tropical Biology, James Cook University, Townsville, Queensland 4811, Australia. Email Presented at the 2004 meeting

DocID: 1vaca - View Document

Two-sample hypothesis testing for random dot product graphs Minh Tang Department of Applied Mathematics and Statistics Johns Hopkins University

Two-sample hypothesis testing for random dot product graphs Minh Tang Department of Applied Mathematics and Statistics Johns Hopkins University

DocID: 1uUvz - View Document

The failure of null hypothesis significance testing when studying incremental changes, and what to do about it∗ Andrew Gelman† 3 JulAbstract

The failure of null hypothesis significance testing when studying incremental changes, and what to do about it∗ Andrew Gelman† 3 JulAbstract

DocID: 1uUlT - View Document