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# T-test

## Introduction

Execute t-test, which checks differences of means of variables.

## How to Access?

You can access from 'Add' (Plus) button.

## How to Use?

#### Column Selection

• Value Column - Numeric column whose means should be calculated.
• Group Column (Optional) - Label column of 2 groups. Without this argument, one sample test, which compares mean with "True Effect Size" value, will be executed.

### Parameters

• Type of Alternative Hypothesis (Optional) - The default is "two.sided". What kind of alternative hypothesis to be used. This can be
• "two.sided"
• "less"
• "greater"
• True Effect Size (Optional) - The default is 0. If it's one sample test, true value of the mean. If it's two sample test, the difference in means.
• Paired (Optional) - The default is FALSE. If it should be paired t-test, which is often used to test before values and after values are different.
• Equal Variance (Optional) - The default is FALSE. If the variances of the two groups can be considered as equal.
• Confidence Level (Optional) - The default is 0.95. The level of confidence interval.
• Subset (Optional) - A vector to specify a subset of observations to be used.
• NA Action (Optional) - The default is "na.fail". This changes the behaviour of NA data. Can be one of the following.
• "na.omit"
• "na.fail"
• "na.exclude"
• "na.pass"
• NULL
Take a look at the reference document for the 't.test' function from base R for more details on the parameters.