workshop16 - CHEN 3010 Applied Data Analysis Fall 2004...

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CHEN 3010 Applied Data Analysis Fall 2004 Names:__________________________ __________________________ __________________________ __________________________ Workshop #16 Comparison of Means Background and Objective It is a common task in engineering to analyze two sets of measurements in order to determine if there is a significant difference between the two, most often in their apparent mean. If the sample sizes are relatively small (a few to 10’s of data), an hypothesis test based on the t distribution is in order. If the sample sizes are in the 100’s or 1000’s, the normal distribution may be used. In either case, it is not strictly necessary that the data follow a normal distribution, since the central limit theorem will provide a normal-like distribution in averages computed from the data. Several hypothesis tests are possible: inequality of the means of the two data sets one mean greater than the other one mean greater than the other by a certain margin In comparing means, a question that arises is whether the variances of the two data sets are
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This note was uploaded on 10/11/2011 for the course CHEN 3010 taught by Professor Kompala,dh during the Spring '08 term at Colorado.

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workshop16 - CHEN 3010 Applied Data Analysis Fall 2004...

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