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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.
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Answer:
Business
Explanation:
As with many civilizations it goes through different stages and social norms. The Middle Ages was just a phase in history as are many others. While there were many reasons for the shifting of the Middle Ages on to the Renaissance, the most poignant of that was money. During this time, the feudal system, which was the reception of land for services was on the decline. In this same time the Church declined and this gave way for the merchants to take power that was available. This influx of money created a new and refreshing class of people called the Middle class ending the dark ages.
