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Hypothesis Testing: Type I or Type II Error

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Please help with the following problem.

Explain in easy to understand language what the impact of a Type I or Type II Error for the specific problem and hypothesis attached.

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This solution explains the impact of a Type I or Type II Error for the specific problem and hypothesis attached.

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1. Explain in lamens terms (easy to understand) what the impact of a Type I or Type II Error for the specific problem, and the hypothesis attached.

Briefly, the Problem was to investigate both the age range of newly hired employees [e.g., found to be between the age range of 28.69 - 46.81, with 99% confidence that the true age falls within this range (alpha = .01)] and to test the hypothesis whether the mean duration of employment in Riverside is greater than the California mean duration of 17.00 weeks:
H0 =mean duration is 17
H1 = mean duration is > 17

We will deal the latter hypothesis in this response.

The authors found no evidence (t=. 7466, p >.01) to reject the ...

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