bétaképesség
Bétaképesség refers to the probability of incorrectly rejecting a true null hypothesis in a statistical test. This is also known as a Type I error or alpha error. In essence, it is the risk of concluding that there is an effect or difference when, in reality, there is none. The significance level, commonly denoted by alpha (α), is set by the researcher before conducting the test and represents the maximum acceptable probability of making a Type I error. For example, a significance level of 0.05 means there is a 5% chance of committing a Type I error.
The bétaképesség is directly influenced by the chosen significance level. A higher significance level increases the
Understanding bétaképesség is crucial for interpreting the results of statistical hypothesis testing. When a test yields