Power is increased by increasing the sample size, increasing the difference between the population mean and hypothesized mean, and decreasing the standard deviation. When the null hypothesis is true, neither the sample size nor the standard deviation affect the Type I error rate. Power is higher with one-tailed than two-tailed tests as long as the difference between population mean and hypothesized mean is in the hypothesized direction.