P-Value & Critical Region in Probability π
Today I explored two important concepts in hypothesis testing:
πΉ P-Value
β’ Probability of getting results at least as extreme as observed, assuming the null hypothesis is true.
β’ Low p-value (< 0.05) β strong evidence against null hypothesis.
πΉ Critical Region
β’ The range of values where we reject the null hypothesis.
β’ Defined by significance level (Ξ±), often 5%.
πΉ Why it matters?
β
P-value tells us how surprising our result is.
β
Critical region decides whether to accept or reject a hypothesis.
β‘ Fun Fact: The 0.05 threshold for p-values was first popularized by Ronald Fisher in the 1920s β and it still rules data science & research today! π
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