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Hypothesis Testing 101 - Coggle Diagram
Hypothesis Testing 101
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One-tailed and two-tailed tests (Example)
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Statistical power
Calculation
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Beta, Power=1 - P(Type II error)
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P-value
Conditional probability
It measures the probability of getting the observed data or more extreme data given that the null hypothesis is true.
A very small p-value means that the probability of observing the data due to chance is very low. A p-value < 0.05 denotes strong evidence against the null hypothesis, which means the null hypothesis can be rejected.
A p-value > 0.05 denotes weak evidence against the null hypothesis, which means the null hypothesis cannot be rejected.
A p-value = 0.05 is a marginal value indicating it is possible for the test to go either way; in practice, the null hypothesis is usually not rejected.
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