Max believes people on the highway tend to go over the posted speed limit of 55 mph. He performs a significance test on Hoi N = 55 versus How > 55. What would be a Type Il error in this scenario?

Concluding that people do not drive over the posted speed limit when they actually do

Explanation:

H0 : μ = 55

H1 : μ > 55

The two tyoes of error when testing for statistical significance could be TYPE 1 and TYPE 2 error.

Type 1 error occurs when the Null hypothesis is incorrectly rejected while type 2 error results when the Null value is accepted when it is False.

Therefore, a type 2 error will result if we conclude from the test that people do not drive above the posted limit when in actual sense, people do drive above this limit. With a type 2 error, the null. Hypothesis which ought to be rejected is incorrectly not rejected.

answer; i believe that the correct answer is (trichromatic theory) it is also known as the young-helmholtz

from the word list given, the most suitable words that relate to the reason information were written would be:  

objectivity: lack of bias, judgment, or prejudice

accuracy: free of mistakes, to be correct

authority: the ability to tell people what to do or believe in

content: to be satisfied  

it can be said that the author made the article to present objectivity, to provide accurate information, to be the authority in the subject that he or she writes, and to be satisfied of the information quality given out.