Neyman-Pearson's hypotheses testing

# Hypotheses testing

This procedure for the testing of two hypotheses is adscribed to Newman and Pearson, and can be carried out in three basic steps, according to Gigerenzer et al *(2004 ^{1})*.

## Procedure

- Set up two statistical hypotheses, and decide about alpha, beta, and sample size before carrying out the experiment.
- If the data falls into the rejection region of H1 (alpha), accept H2; otherwise, accept H1
^{2}. - Use this procedure only when you have two hypotheses clearly stated (ie, either mean = 8, or mean = 10) and you have enough information as to estimate the values of alpha and beta.

References

1.

+++ **GIGERENZER Gerd, Stefan KRAUSS & Oliver VITOUCH (2004).***The null ritual: what you always wanted to know about significance testing but were afraid to ask.*Chapter 21 in David KAPLAN [ed] (2004), The SAGE handbook of quantitative methodology for the social sciences. SAGE (California, USA), 2004. ISBN 9780761923596.**Footnotes**+++

2. Note that accepting a hypothesis does not imply that you believe in it, only that you act as if it were true.

# Want to know more?

**Fisher-Perez's test of significance**- This page deals with Fisher's significance testing procedure, based on simply testing data against one hypothesis (the null hypothesis).

# Contributors to this page

## Authors / Editors

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page revision: 6, last edited: 02 May 2012 07:15