Challenge to self... learn statistics!
After today's lecture that started with a reminder that terms like error, variation, deviation, bias, noise and residuals can all be used interchangeably yet each may have unique connotations...followed by discussing the concept of "random" which is used at least three different ways: random measurement, random sample, random experiments... followed by something that started to sound like "blah, blah, blah, blah...." I think it is safe to say I have severe limitations in my statistics knowledge set!
Challenge one: construct simple understanding of p value and paraphrase below:
First one must understand the null hypothesis. The null hypothesis states that there is no relationship between two measured phenomena, or that a potential treatment has no effect. So, if we are trying to prove a treatment has an effect, then we want to reject the null hypothesis. A p-value less than 0.05 would result in a rejected null hypothesis at the 5% significance level.