The two-sample t-test is one of the most commonly used hypothesis tests in Six Sigma work. It is applied to compare the average difference between two groups. You use it to determine if the ...

Assumptions for the one sample t test are as follows: The data in the variables of interest should be continuous.This means they take any numeric value, such as age in years, weight in kilograms or ...

Robustness and Power of the t-Test This applet allows users to change the distributions of two populations, and to view the resulting distribution of test statistics arising from simulation results.

The T-Distribution Table is available in one-tail and two-tails formats. ... Mathematically, the t-test takes a sample from each of the two sets and establishes the problem statement.

A t-test is a statistic method used to determine if there is a significant difference between the means of two groups based on a sample of data. The test relies on a set of assumptions for it to ...

This short course provides an overview of statistical analyses useful for comparing the means for one or more samples. The statistical training will include the discussion of the one sample t-test, ...

These data are paired and follow a normal distribution which is a requirement for small samples that use the t-distribution. Question 3. If I collected blood pressure from 20 pairs of brothers and ...

Course TopicsThis short course will cover the one sample t-test, the two sample t-test, matched-pairs t-test, one-way ANOVA (Analysis of Variance), two-way ANOVA and ANCOVA (Analysis of Covariance).