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 ...

He used a one-sample t-test to see whether the vendor was delivering as promised. The results of the t-test are shown below.

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.

Figure 8.12: Two-Sample Test for Proportions Dialog In Figure 8.12, the null hypothesis specifies that the proportions of success for the algorithms are equal (or, equivalently, that the difference ...

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).