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?

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 gt 55 What would be a class=

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Answer:

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.