Answer:
(A) When the sample size increases, both α and β may decrease.
Step-by-step explanation:
Which of the following is correct?
(A) This option is right.
When a sample's size increases, the values for alpha and beta may decrease; if and only if sample size is the denominator in the slope equation (in each case) and the numerator stays the same (that is, ceteris paribus; all other things being equal). The larger the denominator, the smaller the slope value for alpha and beta.
(B) This option is wrong
Type 2 error can only occur when you fail to reject a true H0
(C) This option is wrong
Type 1 error can only occur if or when you don't reject a false H0
(D) This option is wrong
The level of significance is the probability of a Type 1 error, not the probability of a Type 2 error.
Answer:
*me sweating while answering this*
Step-by-step explanation:
i think my dogs weigh about 50 pounds each
i am 5'6 feet tall
my favorite color is blue
Having The Lack Of Information, We Can Only Give You An Equation.
So:
Quotient = Division.
R / 12 Is The Equation.
(If This Is Not What You Need, Put In More Info, And I Can Solve It. ;) <span />
Answer: 9.70$
Step-by-step explanation: The equation is 53.89 * 0.18 = 9.7002 but, If you round to the nearest hundred it is 9.70$. Hope this helped!!!
