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Definition of null hypothesis, from the Stat Trek dictionary of statistical terms The null hypothesis, denoted by H0, is usually the hypothesis that sample observations result purely from chance. See also: Statistics Tutorial: Hypothesis Tests Analyze sample data. where P is the hypothesized value of population proportion in the null hypothesis, p is the sample proportion, and n is the sample size. Since we have a two-tailed test, the P-value is the probability that the z-score is less than -1.75 or greater than 1.75. Set the significance level, ?, the probability of making a Type I error to be small — 0.01, 0.05, or 0.10. Compare the P-value to ?. If the P-value is less than (or equal to) ?, reject the null hypothesis in favor of the alternative hypothesis. If the P-value is greater than ?, do not reject the null hypothesis. Feb 7, 2014The Null Hypothesis is the Starting Point for Statistical Significance Testing Like so, the figure below shows the probabilities for different sample correlations (N Hypothesis testing is a statistical method that is used in making statistical Power: Usually known as the probability of correctly accepting the null hypothesis. Both the null and alternative hypothesis should be stated before any statistical test of significance is ? = Probability of Type I error = P(rejecting H0 | H0 is true). Nov 2, 2010 Hypothesis testing is a set of formal procedures used by statisticians to either accept or reject statistical hypotheses. Statistical hypotheses are of two types: Null If it is far away, then it is unlikely that the null hypothesis is true and one rejects it. Otherwise, one cannot reject the null hypothesis. It depends on the level of significance ? (step 2 of conducting a hypothesis test), and the probability the sample data would produce the observed result.