I'm stuck on the same question. C seems to be only somewhat reasonable answer.
I need to see more to help
<span>They lead executive departments.</span>
In an attempt to reduce the likelihood of a type ii error, the experimenter proposes to recruit a very large group of participants.
In statistical hypothesis testing, a Type I error is actually an incorrect rejection of the true null hypothesis (a.k.a. a "false positive" result or conclusion; e.g., "Innocent person convicted ing"). Rejection of one actually false null hypothesis (also called a "false negative" result or conclusion, e.g. "guilty party not convicted").
Many statistical theories revolve around minimizing one or both of these errors, but unless the outcome is determined by a known and observable causal process, either of these errors can be completely quantified. It is statistically impossible to eliminate You can improve the quality of the hypothesis test by choosing a lower threshold (cutoff) and changing the alpha (α) level. Knowledge of type I and type II errors is widely used in medicine, biometrics, and computer science.
Learn more about type ii error here:
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Answer:
Option C “Rome wanted to keep Carthage from completely taking over Sicily”
Explanation:
During its plans for expansion as a great Empire, Rome wanted to take over Sicily, which at that moment was under control of Carthage. As a maritime focal point, the fact of dominating Sicily translated into having commercial and military power, and thus was key for expansion over sea (264-146 AC).
