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:
We can use a current event for this one. Recently, the United States along with a few other countries have expelled Russian diplomats from their countries. Therefore, we have,
"In the recent days, countries like the US and the UK have expelled Russian diplomats from their countries, sparking a global effort to do the same."
This relates to the international organization because it talks about a break of unity between these countries that abrupt;y breaks diplomatic relations that previously were existent and well.
The answer is True
hope this helped !
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