If alpha is too low, you might miss real relationships (Type II error). If alpha is too high, you might incorrectly reject the null hypothesis (Type I error). For example, setting alpha to 0.50 means ...

So for example, if you set an alpha of 0.05 and your statistical test produces a p-value of 0.02, you reject the null hypothesis. (You would say we reject the null hypothesis at a significance level ...

It was a perfect example of how the null hypothesis works. Psychology, like other sciences, tends to move forward based on Baconian principles.

Alpha risk is the risk that a difference will be detected when no difference actually exists. It may be explained as the risk found in incorrectly rejecting the null hypothesis when an alternative ...

Hungry for more? So here’s a more immediate example of an alternative hypothesis: “reading this article will get you closer to the ‘two-fruit-and-five-vegies’ rule today”.

Key Points Hypothesis testing provides organizations with a structured approach to evaluate assumptions using data, reducing reliance on intuition and enhancing decision accuracy. By validating ...

The collapse of null hypothesis significance testing as a statistical paradigm has created liabilities and opportunities in wildlife science. One liability is that some formalism for statistical ...