Guidelines-for-accepting-or-rejecting-null-hypotheses

# Guidelines-for-accepting-or-rejecting-null-hypotheses -...

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1 | Page Guidelines to accepting/rejecting null hypotheses of statistical inference tests based on thresholds and p- values Written by: Derek Gordon Date: 03/10/11 In my experience, students sometimes have difficulty knowing how to use thresholds and p-values to accept of reject null hypotheses of statistical tests. As an example, in this course, you will be asked whether you accept or reject the null hypothesis that a marker locus is in Hardy- Weinberg Equilibrium based on the data that is collected. To that end, I have decided to provide some guidelines. Also, I provide some examples down below. 1. Notation a. X = Statistical test threshold. b. p = p-value threshold. c. Y = Statistical test value for a given data set. d. ݌ = p-value for a given data set. 2. When you perform a hypothesis test, you will be provided with one of two pieces of information (sometimes both): a. A statistical test threshold, X . b. A p-value threshold, p . These values are actually related; the p-value is the probability of observing a test statistic value greater than or equal to the statistical test threshold X when the null hypothesis is true. This relation typically implies that there is a known null distribution

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## This note was uploaded on 04/04/2011 for the course GENETICS 385 taught by Professor Brennemanandgordon during the Spring '11 term at Rutgers.

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