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:
A manipulated variable is the independent variable in an experiment. It's called “manipulated” because it's the one you can change
The answer for this question is: The coastal plain
The coastal plain is the region that exist which become the connection between the land and the sea. This region tends to be really high in humidity because it is constantly passed by the water containing wind that just arrived from the sea. Currently, the largest coastal land is located on Eastern south america.
