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Visual stats: Independent-samples T test performs hypothesis tests or compare means

Introduction
->> Visual Stats
->> Main Interface
   
Quick Start Tutorial
->> Functions
->> Operations
->> Parameters
->> Syntax
->> Priority Of Operations And Functions
   
Menus & Toolbar
->> File Menu
->> Edit Menu
->> Format Menu
->> Setting Menu
->> Stats Menu
->> Help Menu
->> Standard Toolbar
   
Stats
->> Probability
->> Descriptive Statistics Summary
->> Frequency Analysis
   
Compare Means
->> One Sample T Test
->> Independent-Samples T Test
->> Paired-Samples T Test
   
Compare Variables
->> One Sample
->> Two Samples
   
Variance Analysis
->> One-Way ANOVA
->> Two-Way ANOVA
   
Regression
->> Univariate Linear Regression
->> Multivariate Linear Regression
->> Curve Fitting
->> Nonlinear Curve Fitting
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Independent-Samples T Test

The Main Steps Of Operation:

To implement independent-samples t test, following these steps:

  1. Input your data in Data Editor.
  2. Select Stats -> Hypothesis Tests -> Compare Means -> Independent-Samples T Test... from the menus.
  3. Select test variable and grouping variable in Independent-Samples T Test dialogbox, input confidence value in Confidence field, and click OK button.

Note:

The values of grouping variable must be 1 or 2 which indicate the correspondent values of test variable are sampled from sample 1 or sample 2.

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Outputs:

Outputs include two answers corresponding to the situations of equal variances assumed and equal variances not assumed. The statistics include df(degree of freedom), t(t value) and sig(significance of t). If the value of sig is lower to significance level, then null hypothesis is rejected.

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