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Type I and type II errors

Type I Error (False Positive) You reject a true null hypothesis — you conclude something is happening when it actually isn’t. Example:A medical test says a patient has a disease, but they actually don’t. Type… Type I and type II errors

One sample t-test

A one‑sample t‑test checks whether the mean of a single sample is significantly different from a known or hypothesized population mean. It answers the question: “Is my sample mean different enough from the population mean… One sample t-test

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