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Mathematics

The t-Distribution and Its Role in Small-Sample Inference

Quick fact

The t-distribution was introduced by William Sealy Gosset in 1908 under the pseudonym 'Student' to solve a brewing problem: estimating the quality of beer when only a few samples were available. Its shape changes with sample size, providing accurate confidence intervals that the normal distribution cannot.

Why this is interesting

You’ve probably heard of the normal (bell) curve, but when your sample is tiny, relying on it can be a big mistake. So why do statisticians use a different curve just for small samples?

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The t-Distribution and Its Role in Small-Sample Inference

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