a hypothesis test has a significance level of 10%. explain what this significance level represents.
a hypothesis test has a significance level of 10%. explain what this significance level represents.
Answer
Brief Explanations:
The significance level is the probability of rejecting the null hypothesis when it is actually true (Type - I error). A 10% significance level means there is a 10% chance of making this error.
Answer:
The significance level of 10% represents the probability of rejecting the null hypothesis when it is true, i.e., the probability of making a Type - I error is 0.1.