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T-Tests in NCSS

Introduction

The t-test procedures test the difference between two averages. The two sample t-test is used when the means come from two independent samples. The paired t-test is used when the observations are obtained in pairs. The one sample t-test is used to compare a single mean with a target value. NCSS offers a comprehensive t-test analysis. It automatically checks all model assumptions, performs analogous nonparametric tests, displays appropriate plots, and computes confidence limits. NCSS also offers a procedure that calculates t-test results directly from the means and standard deviations.

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Features

> Aspin-Welch variance test
> Box plots
> Confidence limits
> Descriptive statistics
> Equivalence output
> Kolmogorov-Smirnov test
> Levene equal-variance test
> Mann-Whitney U test
> Normal probability plots
> Normality tests		 > One and two tailed tests
> One sample t-test
> Pair comparisons t-test
> Power calculations
> Probability levels
> Quantile test
> Randomization Test
> Two sample t-test
> Unequal variance case
> Wilcoxon rank sum test

NCSS

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