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3 cards from this section. Quick, good the night before a test.
Define the Null Hypothesis.
Think about what you believe before testing.
What is a p-value?
It's a way to measure evidence against H₀.
What does the null hypothesis represent?
Think about what it means to start with a claim.
True or False: A p-value greater than 0.05 leads to the rejection of the null hypothesis.
Remember the common p-value threshold.
You conducted a study comparing to two different diets on weight loss. The t-test returns a p-value of 0.06. Explain the implications of this result.
Think about what it means when p-values hover just above the threshold.
Construct a hypothetical scenario where using a one-tailed t-test would be preferable over a two-tailed t-test and explain why.
Consider if you are testing for an increase or decrease specifically.
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