document.write( "Question 1127358: We have conducted a weight loss intervention using 40 volunteers and have measured waist circumference before the intervention and after the intervention. Which type of analysis is more appropriate?
\n" ); document.write( " A. Independent samples z-test
\n" ); document.write( " B. Independent samples t-test
\n" ); document.write( " C. Matched samples t-test
\n" ); document.write( " D. Matched samples z-test \n" ); document.write( "

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\n" ); document.write( "The paired sample t-test, sometimes called the dependent sample t-test, is a statistical procedure used to determine whether the mean difference between two sets of observations is zero. In a paired sample t-test, each subject or entity is measured twice, resulting in pairs of observations. Common applications of the paired sample t-test include case-control studies or repeated-measures designs. Suppose you are interested in evaluating the effectiveness of a company training program. One approach you might consider would be to measure the performance of a sample of employees before and after completing the program, and analyze the differences using a paired sample t-test.\r
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\n" ); document.write( "\n" ); document.write( "answer: C. Matched samples t-test \n" ); document.write( "

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