p-Value and Power of a Test
Explaining p-value
Published in
3 min readSep 1, 2020
We have all used this is in our stats classes: the null hypothesis is rejected if p<0.05. This short blog is about an explanation of p-value, and how it is connected to the confidence interval and power of a test.
p-value definition (from stats 101/Wikipedia)
p-value is a probability of obtaining test results at least as extreme as the results actually observed, under the assumption that the null hypothesis is correct. (difficult to make sense of easily)