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Any Value Which Is Based on Having Measured the Entire

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Any value which is based on having measured the entire population is called


Definitions:

Significance Level

A threshold used in hypothesis testing that determines the probability of rejecting a null hypothesis when it is actually true.

Type I Error

The incorrect rejection of a true null hypothesis, also known as a "false positive."

Type II Error

The error that occurs when a statistical test fails to reject a false null hypothesis, also known as a "false negative."

Confidence Interval

A range of values, derived from sample statistics, that is believed to cover the true population parameter with a specified level of confidence.

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