Step-by-step explanation:
H0 : µ ≤ 26.9
Ha : µ > 26.9
a. since the null hypothesis is rejected, we would accept the alternative hypothesis and come to the conclusion that there is enough evidence that beer and cider consumption are higher than 26.9 in the city.
b. type 1 error happens when we reject a true null hypothesis.
this error error in this question would be that our conclusion that beer and cider consumption is greater than 26.9 is not true. what is true is that it is equal to or less than 26.9.
the consequence is that is h0 is false it would be harder to reject it at a lower level of significance.
c. type ii error happens when the null hypothesis is accepted even though it is false. here, error would be that cider we accepted that cider and beer consumption is less than or equal to 26.9 when it is actually greater than 26.9
the consequence is that it would be harder to accept a true h0 at a high level of significance
First of all you have to use the formula
a^2+B^2=c^2
a=6 b=4 c=?
6^2+4^2=?
36+16=?
after you add 36 and 16 find the square root
the square root of 52 is 7.211
if you don't want it in decimals you can just put it like this <span>sqrt(52)</span>
9.75 i think I’m not really sure do you have any options?
The answer is 5 you’re welcome
Answer:
pretty sure its 2
Step-by-step explanation:
