Null hypothesis testing is a type of statistical inference that evaluates the probability of a given parameter in a sample if the true value of the parameter was zero. In other words, if there was no relationship between two variables in the population, what is the probability that researchers would have observed the relationship obtained by their sample? Null hypothesis testing is most often used to test the voracity of a research hypothesis by attempting to falsify it. A research hypothesis typically assumes that two variables are related. A statistically significant result of a null hypothesis test (typically expressed as p < .05) is taken to mean that the researchers were unable to falsify the research hypothesis. Null hypothesis testing is the most ...
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