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User:Asitgoes/t-Tester

From Wikipedia, the free encyclopedia
Developer(s)Institute for Land Reclamation and Improvement (ILRI)
Written inDelphi
Operating systemMicrosoft Windows
Available inEnglish
TypeStatistical software
LicenseProprietary Freeware
Websitet-Tester

In statistics and data analysis the application software t-Tester is a free and user-friendly calculator for t-testing using Student's t-distribution of a variable X . [1][2]

The calculator determines the cumulative probability Pc(T) for any t-test value T. Here, the cumulative probability Pc(T) stands for the probability P that X is less than a reference value T of X. Biefly : Pc(T) = P(X<T).

Reversely, the calculator can give the value of T given Pc. Hence, it is a two-way calculator. The data required are the degrees of freedom.

Intervals

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The probability (Pi) that X occurs in an interval between an upper limit (U) and a lower limit (L) can be found from:

Pi = P(L<X<U) = Pc(U) - Pc(L) .

Thus, using the calculator twice, namely for T=U and T=L, and subtracting the results, one finds the value of Pi that L<X<U.

Numerical method

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The cumulative distribution function of the t-distribution can be calculated numerically as follows.

When T is positive or zero :

When T is negative :

where Po is an auxiliary probability value as elaborated below.

Using

where N is the number of degrees of freedom,

the following auxiliary probability equations are applicable according to 3 different conditions:

1 - N (degrees of freedom) even :

2 - N (degrees of freedom) uneven and >1 :

3 - N (degrees of freedom) = 1 :

The number of terms between the parentheses [ ] to be used is N / 2 when N is even and (N-1) / 2 when N is uneven.

Cumulative distribution function of the t-distribution with 10 degrees of freedom and t-test application
Probability area between a lower an upper interval in a probability density function of the t-distribution with 10 degrees of freedom as used in t-test applications.

Graphics

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The t-Tester software provides graphics for the various values computed with the calculator. See the examples to left and right.

References

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  1. ^ Robert V. Hogg; Craig, A.T. (1978). Introduction to Mathematical Statistics. New York: Macmillan.
  2. ^ John A. Rice (2006). Mathematical Statistics and Data Analysis. Third Edition, Duxbury Advanced.


Category:Statistical software Category:Data analysis software Category:Freeware