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Significance tests
A test fixes a threshold before looking; moving it trades false alarms against misses, and only a bigger effect or more data cuts both.
Statistics
A hypothesis test asks whether data are surprising under a default assumption. This topic sets up significance tests, reads p-values with care, compares means with t-tests, and compares counts with chi-square tests.
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