Explain hypothesis testing with a simple example
The short version: hypothesis testing refers to a procedure for deciding whether evidence contradicts a stated assumption. A quick example makes it concrete — A p value of 0.02 rejects the null hypothesis at the 5 percent level.
How to approach it step by step
Once one example makes sense, the method generalises: state the null and alternative, choose the significance level, then compare the test statistic. In a visual interactive session the example is built on screen piece by piece, so you see which quantity changes at each step instead of only reading a final answer. Ask for a harder variant and the explanation adapts on the spot.
Worked example
A p value of 0.02 rejects the null hypothesis at the 5 percent level.
The mistake most learners make
Interpreting a non-significant result as proof that the null hypothesis is true.
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