Answer:
A) Increase the significance level to increase the probability of a Type I error
Step-by-step explanation:
According to the information of the problem we can say that the researchers have the difficulty with a test that is evaluating a machine, which works well but the test does not get to verify this information correctly, we have that the null hypothesis is that the new machine does not improve precision, so the risk of the researchers is to accept the hypothesis when it is false, what is called type II error, to avoid this, the level of significance should be increased, which in turn would increase the probability of type I error. , so the correct answer is A.
A) (-6,-3], (-3, 3), [3,7)
B) (-5,-5), (-3,-3), (-1,6)
C)6
D) X=5
E) f(2)= -3
F)4 & 6
