# Software Listing: T Test

**Holm-Sidak t-test**- License: Shareware

As you know, the Student t-test can be used only to compare two groups. When you have k groups you can't use a t-test for each couple because, if you have fixed alpha=0.05 for each t-test, there is a probability of k*0.05 to find a difference when it isn't (Bonferroni inequality). The Holm-Sidak test is a step-down "recursive reject", because it applies an accept/reject criterion on a sorted set of null hypothesis, starting from the lower p-value and going up to the acceptance of null hypothesis. For each comparison, the alpha value is set according to Sidak correction of Bonferroni inequality.

**Publisher:**Giuseppe Cardillo**Date:**03-03-2013**Size:**10 KB

**Platform:**Matlab, Scripts

**Dunn's test**- License: Shareware

Dunn's test is the not parametric analog of Holm-Sidak multiple t-test. When you use the Kruskal-Wallis test, you know if there is a difference among your groups, but you can't apply the KWtest for each couple because the overall error is >alpha (Bonferroni inequality). By Dunn's test you can highlight where is the difference using multiple, stepdown comparisons. The algorithm requires the Statistics Toolbox..

**Publisher:**Giuseppe Cardillo**Date:**07-01-2013**Size:**10 KB

**Platform:**Matlab, Scripts

**Power Analysis for T-tests**- License: Shareware

The main function, TPOWER, will compute the power of a t-test given an effect size (d), sample size (N), and alpha. By giving N as an array the program can be used to plan sample size for an experiment. By setting the "PLOT" parameter to 1 the function calls plotpowfun, which plots the array N against power. By providing a desired power level, DESPWR, the program will also determine the minimum sample size needed to reach the desired power..

**Publisher:**Jason Augustyn**Date:**08-02-2013**Size:**10 KB

**Platform:**Matlab, Scripts

**one sample/paired samples permutation t-test with correction for multiple comparisons**- License: Shareware

Permutation test of the null hypothesis that a set of data was sampled from a symmetric distribution with a particular mean. The test is based on a t-statistic and can be applied to situations in which a one sample or paired sample/repeated measures t-test is appropriate. Note, that this test is more general than parametric t-tests in that it does not assume that the data were sampled from a Gaussian distribution. This function can perform the test on one variable or simultaneously on multiple variables. When applying the test to multiple variables, the "tmax" method is used for adjusting the p-values of each variable for multiple comparisons (Blair & Karniski, 1993).

**Publisher:**David Groppe**Date:**10-06-2013**Size:**10 KB

**Platform:**Matlab, Scripts

**Statsar**- License: Demo
- Price: 495

The Statsar statistics library allows you to add high-performance statistics calculations to your .NET platform applications. The object-oriented library was designed and implemented by numerical experts with proven expertise in the financial industry. Providing a simple and intuitive object model, the library allows you to rapidly analyze your data by importing familiar data objects such as ADO.NET data tables. A powerful and robust CSV reader is also included with the component, allowing you to work with existing data files. Bind to virtually any data source including standard data objects, arrays, lists or your own object model.

**Publisher:**Simplexar Software**Date:**14-04-2008**Size:**2144 KB

**Platform:**Win2000, Windows Server, WinOther

**PDL-Stats**- License: Freeware
- Price: 0.00

Statistics modules in Perl Data Language, with a quick-start guide for non-PDL people. They make the PDL shell work like R, but with PDL threading (fast automatic iteration) of procedures including t-test, linear regression, and k-means clustering..

**Publisher:**pdl-stats.sourceforge.net**Date:**06-05-2012**Size:**64 KB

**Platform:**WinOther

**Spearman Rank Correlation**- License: Shareware

It calculates the Spearman rank correlation coefficient from 2 or more data sets, and the associated t-test and p-values. The code is adapted with major changes from the Numerical Recipes book (http://www.nr.com/) Example: >> x = [1 2 3 3 3]'; >> y = [1 2 2 4 3; rand(1,5)]'; >> [r,t,p] = spear(x,y) >> [r,t,p]=spear(x,y) r = 0.8250 -0.6000 t = 2.5285 -1.2990 p = 0.0855 0.2848.

**Publisher:**Alexandros Leontitsis**Date:**24-04-2013**Size:**10 KB

**Platform:**Matlab, Scripts

**extpowerStudent**- License: Shareware

Estimates the exact statistical power of a performed Student's t test about mean(s). Here, according to Winer (1970) we use the exact power by the noncentral cumulative distribution function. It recalls you the statistical result of the test you should have arrived. Inputs: t - Student's t statistic (It is considered the estimated noncentrality parameter) df - degrees of freedom c - specified testing direction [1 = one-tailed(default);2 = two tailed]. alpha - significance level (default = 0.05) Outputs: -Specified direction test (Statistical result of the test you should have arrived). -Power.

**Publisher:**Antonio Trujillo-Ortiz**Date:**02-03-2013**Size:**10 KB

**Platform:**Matlab, Scripts

**powerStudent**- License: Shareware

Estimates the approximate statistical power of a performed Student's t test about mean(s). Here, according to Zar (1999) we use the approximation of power by the central cumulative distribution function. It recalls you the statistical result of the test you should have arrived. This power estimation is considered biased, for it is underestimated. However, it is presented for all those interested people. You can find the exact power estimation on the extpowerStudent m-file. Inputs: t - Student's t statistic df - degrees of freedom c - specified testing direction [1 = one-tailed(default);2 = two-tailed] alpha - significance level (default = 0.

**Publisher:**Antonio Trujillo-Ortiz**Date:**19-06-2013**Size:**10 KB

**Platform:**Matlab, Scripts

**twostone**- License: Shareware

This m-file is a two-sample Student's t-test when one of the samples has only one observation. Inputs: x - vector data of one of the samples y - one data of the other sample alpha - significance value (=0.05 by default) Output: Complete table of the Student's t-test.

**Publisher:**Antonio Trujillo-Ortiz**Date:**13-01-2013**Size:**10 KB

**Platform:**Matlab, Scripts

**xjView, viewing program for SPM2 and SPM5**- License: Shareware

Please refer to: http://www.alivelearn.net/xjview Features [1] display a t-test or F-test image (glass view, section view and render view); and change p-value with a slider [2] display multiple t-test images on the same template with different color [3] single-click to find the anatomical description [4] select and pick clusters; get statistics of the clusters.

**Publisher:**Xu Cui**Date:**03-02-2013**Size:**492 KB

**Platform:**Matlab, Scripts

**MouseLock**- License: Shareware

A very-very basic symmetric encrypter for Windows 7 (I didn't test it on XP yet). Used Microsoft VB 2010 Express edition (free) to create, so you need it too to view the source.

Features:

* Symmetric encryption system (per byte)

* Can only encrypt/decrypt a text file (.txt)

.

**Publisher:**Torkos Csongor**Date:****Size:**185 KB

**Platform:**WinOther

**SL realtime widget**- License: Freeware
- Price: 0.00

Problem with your specifik phone/stop? Send me an email,I can't test everything myself =) ovelius@kth.se

The information is based on trafiklab.se. (http://www.trafiklab.se/projekt/sl-realtime-widget)

.**Publisher:**plus.google.com**Date:**10-07-2014**Size:**564 KB

**Platform:**Android 2.x, Android 3.x, Android 4.4, Android 4.x

**WINKS, Windows KWIKSTAT**- License: Shareware
- Price: 99

WINKS (Windows KWIKSTAT) makes statistical data analysis understandable and easy to perform. Award-winning statistics program with thousands of users in over 65 countries. Basic analyses include descriptive statistics and graphs, p-values, t-tests and Analysis of Variance (ANOVA), (w/paired and repeated measures), non-parametric analyses, chi-square, regression, correlation, etc..

**Publisher:**TexaSoft**Date:**06-01-2003**Size:**1249 KB

**Platform:**WinOther

**statistiXL**- License: Shareware

statistiXL is a powerful data analysis add-in for Microsoft Excel. It has been written by scientists to meet the needs of anyone requiring a versatile statistics package that is quick to learn and easy to use. Tests include: ANOVA, Contingency Tables, Cluster Analysis, Correlation (Simple, Multiple, Canonical), Discriminant and Factor Analysis, Goodness of Fit, Regression, Nonparametric Tests, PCA, Uni and Multivariate t-Tests and many more..

**Publisher:**statistiXL**Date:**11-06-2003**Size:**7413 KB

**Platform:**WinOther

**Resampling statistical toolkit**- License: Freeware
- Price: 0.00

This package contains a set of functions for inferiential statistics using resampling methods. Data are organized into arrays so multiple tests can be run at once (up to one million test per second). The package supports bootstrap, permutation and parametric statistics using paired or unpaired t-test, or repeated measure ANOVA (one way and two ways)..

**Publisher:**Arnaud Delorme**Date:**14-03-2013**Size:**61 KB

**Platform:**Matlab, Scripts

**T-test with Bonferroni Correction**- License: Shareware

This function can be used to perform multiple comparisons between groups of sample data. The Bonferroni correction is used to keep the total chance of erroneously reporting a difference below some ALPHA value. For example, consider an experiment with four patients. Their temperature is measured at 8AM, Noon, and 5 PM. This function can be used to test if there is a difference in temperature between 8AM and Noon, between Noon and 5PM, and between 8AM and 5PM..

**Publisher:**Guy Shechter**Date:**12-02-2013**Size:**10 KB

**Platform:**Matlab, Scripts

**Statastizard**- License: Freeware
- Price: 0.00

Statastizard(c)2012 Nick Emblow is a program designed to guide its user into the right statistical test, perform the test, and report the results in a meaningful way.

The idea of this is that the user won't actually need to know that they are using a mann-whitney U over a t-test, for example - it just tests for normality and homoscedastic of variance, and decides which test to use, then reports the results.

Why?

Because time after time, people come to me with some test that they've done that they think "proves" something - when in reality they've either not done a comparative test to start with (ex.

**Publisher:**statastizard.blogspot.com.au**Date:**

**Platform:**WinOther

**Analyse-it! Standard Edition**- License: Shareware
- Price: 199.00

Building on the industry-standard spreadsheet, Analyse-it extends Excel with statistics and charts for visualising, describing and testing hypotheses on your data. The ease-of-use of Analyse-it, combined with the power of Excel, makes a formidable statistics package. With the easy-to-read help and Getting Started tutorials you'll be using Analyse-it on your own data in under 10 minutes. That's probably why Analyse-it is used in almost every industry imaginable and on so many university courses.

- Describe samples, distributions, correlations and relationships

- Visualise relationships, distributions, & differences with new Excel charts

- Test difference, change, correlation, agreement or prediction hypotheses

- Integrated into Microsoft Excel 97, 2000, 2002, 2003 & 2007

- Accurate, reliable...

**Publisher:**Analyse-it Software, Ltd.**Date:****Size:**7249 KB

**Platform:**Win2000, Windows Server, Windows Vista, WinOther

**G*Power**- License: Shareware

G*Power 3 is a major extension of, and improvement over, G*Power 2 . It covers statistical power analyses for many different statistical tests like:

F test,

t test,

χ2-test and

z test families and some

exact tests

G*Power is offering five different types of statistical power analysis:

· A priori (sample size N is computed as a function of power level 1-ß, significance level a, and the to-be-detected population effect size)

· Compromise (both a and 1-ß are computed as functions of effect size, N, and an error probability ratio q = ß/a)

· Criterion (a and the associated decision criterion are computed as a function of 1-ß, the effect size, and N)

· Post-hoc (1-ß is computed as a function of a, the population effect...

**Publisher:**Department of Psychology**Date:**

**Platform:**Windows 7, WinOther, WinVista