Thus, the number you are interested in most is the averageĭifference (loss) and not as much as the individual means of Before and Thus, the t-test is actually testing toĭetermine if the value 19.38 is sufficiently different from 0 to claim Notice also that the averageĪt the original hypotheses – what you are testing is that the average loss To make this a better analysis, first calculate the difference betweenīEFORE and AFTER, creating the following new column called “DIFF” using aįormula such as =A2-B2 in cell C2 and copying the formula for theĪppropriate remaining cells in the worksheet. T-test is actually a test on the DIFFERENCE between the two values. – for a more complete understanding, you need to realize that the paired T-test is p=0.008 (.007585988) and t=3.71.ĭoes a poor job providing what you need to report the results of this test The other items at their default selections. Values of Score in group “After” (values from 168 to 145). For the input range for Variable 2, highlight the eight T-test: Paired two sample for means dialog box: For the Input Rangeįor Variable 1, highlight the 8 values of Score in group “Before” (valuesįrom 162 to 170). Perform a paired t-test, select Tools/ Data Analysis / t-test: Paired The following weight loss data is used in this example Ho: mLoss = 0 (The average weight loss was 0) Observations are taken from the same or matched subjects, you can performĪ paired t- For example, suppose your data contained the variables BEFOREĪnd AFTER, (before and after weight on a diet), for 8 subjects. Two paired values (such as in a before-after situation) where both if it is not already installed in your version of Excel.) T statistic xlstat free#They also assume that you have installed the ExcelĪnalysis Pak which is free and comes with Excel (Go to Tools,Īddins. Although there areĭifferent version of Excel in use, these should work about the same for TheĮxamples include how-to instructions for Excel. And interpretation of standard statistical analysis techniques.
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