Inferential Statistics: Focus on the P Value
Abstract As I sit at my desk, I realize it's hardly a year since my graduation in July 2016. What occupies my mind is the inconsistency with which inferences made from the utilization of P Value as an assessment of statistical significance are skewed towards biases of analysts, sometimes just a result of blatantly confusing principles of model assumption. My quick research reveals that statistics as a field experiences selective interpretation of statitics, and detrimental of them all is the probability related value, P value. This article gives an insight on the correct interpretation of P value, relative to a pre-determined level of significance for a hypothesis test. The overall theme leading to inconsistencies or inacuracies with P value is in the violation of data analysis protocols. Find out in the full text, issues around interpretation of the P value and insights; A large P value favors Null hypotheses! Access the full text via my secure payment link below. ...