Answer:
Type I error
Step-by-step explanation:
In statistical hypothesis testing, a type I error is the rejection of a true null hypothesis (also known as a "false positive" finding or conclusion), while a type II error is the non-rejection of a false null hypothesis (also known as a "false negative" finding or conclusion).
All you have to do is multiply 6 1/2 times 1 3/13= 8, 8 feet is the answer
Hey the answer to your question is -2 . :))
10.25 x 4
20.5 x 2
41 x 1
Hope this helps :)
