What is the probability of making a Type 2 error if the null hypothesis is actually true?
Therefore, the probability of committing a type II error is 97.5%. If the two medications are not equal, the null hypothesis should be rejected. However, if the biotech company does not reject the null hypothesis when the drugs are not equally effective, a type II error occurs.
What is the probability of making a Type I error if the null hypothesis is actually true?
Type I error
That's a value that you set at the beginning of your study to assess the statistical probability of obtaining your results (p value). The significance level is usually set at 0.05 or 5%. This means that your results only have a 5% chance of occurring, or less, if the null hypothesis is actually true.
What is the probability of a type II error quizlet?
probability of a type II error equals beta. the probability of NOT making a type II error is 1.00 - beta.
What is a type II error chegg?
Type II error occurs when the decision is to not reject the null hypothesis when the null hypothesis is false. The power of the test is defined as the scenario when the null hypothesis is not true, and the decision taken is to reject the null hypothesis. This scenario refers to a correct decision.