notes 27 - Toward Statistical Inference Submitted by gfj100...

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Toward Statistical Inference Submitted by gfj100 on Wed, 11/11/2009 - 12:44 Two designs for producing data are sampling and experimentation, both of which should employ randomization. As we have already learned, one important aspect of randomization is to control bias. Now we will see another positive. Because chance governs our selection (think of guessing whether a flip of a fair coin will produce a head or a tail) we can make use of probability laws – the scientific study of random behavior – to draw conclusions about an entire population from which the subjects originated. This is called statistical inference . We previously defined a population and a sample. Now we will consider what we use to describe their values. Parameter: a number that describes the population. It is fixed but we rarely know it. Examples include the true proportion of all American adults who support the president, or the true mean of weight of all residents of New York City. Statistic:
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This note was uploaded on 05/31/2011 for the course STAT 200 taught by Professor Andyregards during the Spring '11 term at World College.

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