There are certain factors that affect the test for power analysis. The very first step is to set the power value. Suppose we have a power of 0.7 value which implies that you have a 70% chance of rejecting the null hypothesis. Below are the affecting factors of Power analysis. The amount of overlap is the overlap between the two distributions that are being compared. The overlap should be as small as possible since the amount of overlap is directly proportionate to the difficulty to calculate null. Effect size is a method to club the difference between the mean and the standard deviation of the populations. It is denoted by “d” and is calculated as the estimated difference between the means divided by Pooled estimated standard deviations. Since now we have the power value, alpha value(amount of overlap), and the effect size, we can easily carry out the Power Analysis.