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0:39
Understanding Random Variables in Probability Distributions
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P-values are crucial in hypothesis testing, but they’re often misunderstood. Let’s clear up some misconceptions: ✅ P-value tells us the probability of observing the data, or something more extreme, if the null hypothesis is true. ❌ It does not measure the probability that the null hypothesis is true or false! ✅ A smaller p-value indicates stronger evidence against the null hypothesis, but remember: it doesn’t guarantee practical significance. Let’s demystify p-values together and make research m
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