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:
Can you explain more please?
Explanation:
Answer:
Rephrasing
Explanation:
Rephrasing is a an act of putting a particular set of words in another format that is easily understandable by the user of the word. For easy assimilation of a range of topic or speech being delivered, a listener might want to highlight the key words and put it in ways which can be easily remembered and referred to in the future.
Socialism, it's similar to communism but it's a lighter version, the government would still control the means however.
Two objects made from soil are:
clay &
cement
