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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The best source of historical evidence to describe how an events unfolded would be a first person source, or a website ending in .edu
Answer:
24 days
Explanation:
48÷2=24, 24 is half of 48, 24 days is half of the amount of time as 48 days, so if it takes 48 days for the whole lake to be covered, it would take 24 days to cover half of it.
A prediction is the technology that is used in a variety of methods to help limit constructive and destructive forces.
<h3>What are constructive and destructive forces?</h3>
The natural forces on the Earth are categorized into two sections:
- Constructive forces: These are those that work to build or create new formations.
- Destructive forces: These are those that works to destroy or tear down existing formations.
However, in the modern world, a prediction is the technology that is used in a variety of methods to help limit constructive and destructive forces.
Full question "What technology is used in a variety of methods to help limit constructive and destructive forces"
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