Chapter 5: Analysing the Data |

## Null and alternative hypothesesThe logic of traditional hypothesis testing requires that we set up two competing statements or hypotheses referred to as the null hypothesis and the alternative hypothesis. These hypotheses are mutually exclusive and exhaustive.
The null hypothesis is then assumed to be true unless we find evidence to the contrary. If we find that the evidence is just too unlikely given the null hypothesis, we assume the alternative hypothesis is more likely to be correct. In "traditional statistics" a probability of something occurring of less than .05 (= 5% = 1 chance in 20) is conventionally considered "unlikely". |

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