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4 cards from this section. Quick, good the night before a test.
Define the null hypothesis in your own words.
Think about the default position before evidence is considered.
What does a p-value represent?
Consider what would happen if the null hypothesis were true.
What is a null hypothesis?
Think about what the default assumption is.
True or False: A p-value greater than the significance level means we reject the null hypothesis.
Recall the rule connecting p-values with significance thresholds.
During a clinical trial for a new drug, researchers establish α at 0.05. The p-value obtained is 0.07. What decision should be made regarding the null hypothesis, and what type of error could potentially occur?
Reflect on the implications of your p-value in relation to the significance level.
In testing a hypothesis about the average test scores of students, a researcher finds that their significance level leads to a 10% Type I error rate. What could be the potential impact of this error on educational policy decisions?
Consider how policy changes based on faulty data could affect educational stakeholders.
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