Question: Define power and identify six factors that influence power.
• In hypothesis testing, power is the probability that a sample selected at random will show that the null hypothesis is false when the null hypothesis is indeed false.
• To increase the power of detecting an effect in a given population:
a. Increase effect size (d), sample size (n), and alpha (a).
b. Decrease beta error (!3), population standard deviation (cr), and standard error ( cr M)