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Hypothesis Testing - Coggle Diagram
Hypothesis Testing
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Alternative Hypothesis: a statement that is likely to be true if the the null hypothesis is not true
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Alpha: The measurement of the risk of a Type I error – the error that occurs if the null hypothesis is
rejected when it was actually true.
Beta: The measurement of the risk of a Type II error – the error that occurs if the null hypothesis is
not rejected when it was actually false.
P-Value: The number typically used to compare to the alpha value to determine whether or not to
reject the null hypothesis. The null hypothesis is rejected if the p-value is less than the alpha value.
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