Exploring a simplified coin flip example to lay the foundation of null and alternative hypotheses, p-values and significance levels.
Want a deeper conceptual understanding? Try our interactive lesson!
No exercises available for this concept.
Practice exam-style hypothesis testing and p-values problems
The null hypothesis H0 states the baseline assumption, usually that no effect or relationship exists. If we reject the null hypothesis, we accept an alternative hypothesis H1.
p-value: The probability of getting results as surprising (or more) as the observation if the null hypothesis were true.
Significance level (α): The cutoff we choose in advance. If the p-value is below α, we reject the null hypothesis.