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HYPOTHESIS TESTING
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HYPOTHESIS TESTING
Null Hypothesis (Ho)
- no change un parameter (equal)
Alternative Hypothesis (Ha\H1)
- there is a change in parameter
Hypothesis are statements regarding the population, not sample. (P= population, M= average, sigma= std dev)
Error type 1= reject the null hypothesis when in fact it is true.
Error type 2= accept the null hypothesis when in fact it is false.
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- Mind Map on HYPOTHESIS TESTING, created by Priscila Pérez Drexel on 22/04/2018.
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- Priscila Pérez Drexel
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