Introduction

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Section 6.1 Introduction

A measure of the goodness of an estimate is the error of estimation, the difference between the estimate and the parameter estimated (for example, the difference between $\overline{y}$ and $\mu$).

We will assume throughout the remainder of this text that populations are large in comparison to the sample size and consequently that the random variables obtained through a random sample are in fact independent of one another.

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