t-test
comes from a normal distribution with mean μ. The statistic t given by
has a t-distribution with n − 1 degrees of freedom, where s2 is the (unbiased) sample variance. The t-test can also be used to test whether a sample mean differs significantly from a population mean and to test whether two samples have been drawn from the same population.
See t-distribution for a table for use in the t-test.
- triple root
- trisect
- trisection of an angle
- trisector
- trivial
- trivial solution
- truncated cube
- truncated tetrahedron
- truncation
- truth table
- truth value
- t-test
- Tukey, John Wilder
- tuple
- Turing, Alan Mathison
- Turing machine
- turning point
- twin primes
- two-person zero-sum game
- two-sample tests
- two-sided test
- two-tailed test
- Tychonoff space
- Tychonoff's theorem
- Type I error