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Errors

Errors. In it possible that we may reject the null hypothesis while in reality H 0 is true. This is known as a Type I error and we write that ? =P(Type I error). That is, the probability that we will fall in the critical region when we should not is ? .

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Sampling distributions

Sampling distributions. The probability distribution of a statistic is called a sampling distribution. : the sampling distribution of the mean. The Central Limit Theorem. When n is sufficiently large (i.e. greater than 15), the sample mean follows approximately a normal distribution:.

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Approximately standard normal - PowerPoint PPT Presentation

Errors

Sampling distributions