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Unformatted text preview: Chapter 14: Estimation of Mean, Variance and Proportion
Up to the last chapter, we have been handling descriptive statistics, i.e. studying data without generalization (of information). From this chapter on, we shall be largely concerned about inductive statistics, which generalizes information obtained from a sample to make inference on a much larger population. A. Concept of Statistical Inference Usually, the population is so large that we cannot afford to study its every member. However, we wish to know its certain important quantities, μand σ², say. and These quantities describing the population are said to be parameters. Then we take a random sample. x1 , x2 ,......., xn The sample elements, are fully known. From these we calculate a certain quantity, say, the sample mean: x = ∑ x
i n A quantity computed from the sample elem...
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- Spring '10