Sampling_3010_p

Sampling_3010_p - Sampling Objectives...

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Sampling
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Objectives To introduce various sampling designs; To understand how to perform statistical  analyses involving the population mean; and To review the statistical principles and  procedures for determining sample size. 
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Content  Introduction Sampling Design Simple Random Sampling Systematic Random Sampling
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Introduction Statistic vs Parameter.  Generalization from sample to population. Advantages of sampling:  1. less costly; 2. greater speed; 3. greater accuracy; 4. testing destroys the product; and 5. population dynamic and changing.
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Introduction Sampling error: it is the difference between  the observed values of a sample statistic and  the unknown population parameter for a  probability sample. Nonsampling error.
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Introduction   some terms ELEMENT  --- an object on which a measurement is  taken.  POPULATION  --- a collection of elements about which  we wish to make inferences from a sample.  SAMPLING UNITS  --- nonoverlapping collection of  elements from population.
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 some terms FRAME  --- a list of sampling units. Example:  electoral roll  Cover the whole population  Must not overlap  Up-to-date  SAMPLE  --- a collection of sampling units  drawn from a frame. Population
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This note was uploaded on 01/15/2010 for the course MKT mkt3010C taught by Professor Alan during the Fall '08 term at CUHK.

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Sampling_3010_p - Sampling Objectives...

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