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Mastering Python for Data Science by Samir Madhavan

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Z-test vs T-test

We have already done a few Z-tests before where we validated our null hypothesis.

Z-test vs T-test

A T-distribution is similar to a Z-distribution—it is centered at zero and has a basic bell shape, but its shorter and flatter around the center than the Z-distribution.

The T-distributions' standard deviation is usually proportionally larger than the Z, because of which you see the fatter tails on each side.

The t distribution is usually used to analyze the population when the sample is small.

The Z-test is used to compare the population mean against a sample or compare the population mean of two distributions with a sample size greater than 30. An example ...

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