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Statistical tests
Tables

'Student's' t Test (For Paired Samples)Use this test to compare two small sets of quantitative data when data in each sample set are related in a special way. Criteria
ExamplesThe paired t test is generally used when measurements are taken from the same subject before and after some manipulation such as injection of a drug. For example, you can use a paired t test to determine the significance of a difference in blood pressure before and after administration of an experimental pressor substance. You can also use a paired t test to compare samples that are subjected to different conditions, provided the samples in each pair are identical otherwise. For example, you might test the effectiveness of a water additive in reducing bacterial numbers by sampling water from different sources and comparing bacterial counts in the treated versus untreated water sample. Each different water source would give a different pair of data points. The value of the paired t test is best demonstrated in an example. Suppose patient 1 responds to a drug with a 5 mm Hg rise in mean blood pressure from 100 to 105. Patient 2 has a 30 mm Hg rise, from 90 to 120. Likewise for several other subjects. The response to the drug varied widely, but all patients had one thing in common  there was always a rise in blood pressure. Some of that experimental error is avoided by the paired t test, which likely will pick up a significant difference. The independent test, which would be improperly applied in this case, would not be able to reject the null hypothesis. Be certain that use of the paired t test is valid before applying it to real data. An applied statistics course or supervision of a qualified mentor may provide the experience you need. Some spreadsheet programs include the paired t test as a builtin option. Even without a builtin option, is is so easy to set up a spreadsheet to do a paired t test that it may not be worth the expense and effort to buy and learn a dedicated statistics software program, unless more complicated statistics are needed. 

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and Intended Use Visitors: to ensure that your message is not mistaken for SPAM, please include the acronym "Bios211" in the subject line of email communications Created by David R. Caprette (caprette@rice.edu), Rice University Dates 