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Paired t-Test


Given two paired sets X_i and Y_i of n measured values, the paired t-test determines whether they differ from each other in a significant way under the assumptions that the paired differences are independent and identically normally distributed.

To apply the test, let

X^^_i=(X_i-X^_)
(1)
Y^^_i=(Y_i-Y^_),
(2)

then define t by

 t=(X^_-Y^_)sqrt((n(n-1))/(sum_(i=1)^(n)(X^^_i-Y^^_i)^2)).
(3)

This statistic has n-1 degrees of freedom.

A table of Student's t-distribution confidence intervals can be used to determine the significance level at which two distributions differ.


See also

Fisher Sign Test, Hypothesis Testing, Student's t-Distribution, Wilcoxon Signed Rank Test Explore this topic in the MathWorld classroom

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References

Goulden, C. H. Methods of Statistical Analysis, 2nd ed. New York: Wiley, pp. 50-55, 1956.

Referenced on Wolfram|Alpha

Paired t-Test

Cite this as:

Weisstein, Eric W. "Paired t-Test." From MathWorld--A Wolfram Web Resource. https://mathworld.wolfram.com/Pairedt-Test.html

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