Learn how to test statistical assumptions using hypothesis tests — and make decisions based on scientifically validated data.
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Hypotheses represent assumptions about potential relationships within data. Hypothesis testing allows these assumptions to be statistically evaluated — either confirming or rejecting them.
Every hypothesis test relies on two fundamental concepts: the null hypothesis and the alternative hypothesis. In this module, you will become familiar with different testing methods that enable statistically sound analysis and interpretation of data.
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