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Hypothesis testing
A fair coin could do that. The question is not whether it's possible — it is whether it's unlikely enough to stop believing the coin is fair.
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Assume it is fair
Start by assuming the thing you doubt. If , the number of heads follows — every bar here is a fair coin's work.
The p-value
Fifteen sits out to the right. But a test never asks about one bar — it asks how likely this result or anything more extreme is:
About one fair coin in fifty would do this well or better.
Where to draw the line
Grow the tail one bar at a time and its total climbs: 0.0002, 0.0013, 0.0059, 0.0207 — then 0.0577, which has passed 5%. So the largest tail allowed at the 5% level stops at 15.
Not quite 5%
Bars come in whole steps, so no region lands on 5% exactly. This one's real probability is 2.07%, the actual significance level.
15 is inside the region, so reject : at the 5% level there is evidence that the coin is biased towards heads.
Chapter 7
One- and two-tailed tests, critical values, actual significance levels, writing the conclusion in context, and twelve graded exam questions with full worked solutions are waiting.