Answer:
(A)
Null hypothesis: Newspaper circulation in the city per day was = 15,000 in 2010
(B)
Alternative hypothesis: Newspaper circulation in the city today is > 15,000
(C)
Type 1 Error: This is the rejection of a true null hypothesis. It is the acceptance of the alternative hypothesis when the null hypothesis is true.
(D)
Type 2 Error: This is the non-rejection of a false null hypothesis. It is the acceptance of a null hypothesis when it is false.
Explanation:
In statistical theory, the complete absence of any of these errors is virtually impossible.