Respuesta :
When conducting a hypothesis test for a given sample size, if α is increased from 0.05 to 0.10, then the probability of incorrectly rejecting the null hypothesis increases ,the probability of incorrectly failing to reject the null hypothesis decrease, the probability of Type II error decreases.
A. the probability of incorrectly rejecting the null hypothesis increases
B. the probability of incorrectly failing to reject the null hypothesis decreases
C. the probability of Type II error decreases
Higher values of α make it easier to reject the null hypothesis, so choosing higher values for α can reduce the probability of a Type II error. The consequence here is that if the null hypothesis is true, increasing α makes it more likely that we commit a Type I error.
A type 1 error is also known as a false positive and occurs when a researcher incorrectly rejects a true null hypothesis. This means that your report that your findings are significant when in fact they have occurred by chance.
hence , all the options are correct
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