p-Value and Power of a Test

Explaining p-value

ashutosh nayak
Towards Data Science
3 min readSep 1, 2020

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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)

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