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.