Power equals 1-beta, where beta is the probability of a Type II error. Power is a value between 0 and 1. The higher the power, the more sensitive a research study is to detect a real effect. Researchers are concerned about power before conducting an experiment to design it to minimize Type II errors, and after conducting an experiment to understand why a significant or non-significant effect was found. Power values of 0.40 to 0.60 are considered acceptable.

1. Questions below. only 1 attempt please ensure accuracy.
An introduction to power Which of the following statements correctly describe power? Check
all that apply. Power equals 1-beta (where beta is the probability of a Type II error). Power is a
value between 0 and 1. Power equals 1/beta (where beta is the probability of a Type II error).
Power is a value between 1 and 10. The higher the power, the sensitive the research study is to
detect a real effect or difference. When and why are researchers typically concerned about the
power of an experiment? Check all that apply. Researchers are concerned before conducting the
experiment so that they can design the experiment to minimize power. Researchers are
concerned after conducting the experiment when they are trying to figure out why a study found
a significant effect. Researchers are concerned after conducting the experiment so that they can
design the experiment to maximize power. Researchers are concerned after conducting the
experiment when they are trying to figure out why a study failed to find a significant effect.
Power values of 0.40 to 0.60 are
Solution