How does the Central Limit Theorem relate to the use of Z-tests?

It allows for the assumption that the sample mean distribution is normally distributed
It enables the calculation of the sample standard deviation
It increases the power of the test
It reduces the impact of outliers in the sample

The Central Limit Theorem states that, with a large enough sample size, the distribution of the sample mean will be approximately normally distributed. This allows us to use Z-tests even when the population is not normally distributed.

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