2-Sample t-test Tutorial Is the difference statistically significant? If you only learn one statistical test, the 2-sample t-test is it. If you are a visual learner, this tutorial will give you the confidence to use and interpret the 2-sample t-test.      More...

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At the end of this tutorial you will know how to conduct a 2-sample t-test, interpret the results and have solid understanding of how the role of chance is accounted for in the computations for both small and large sample sizes.
• 30 minutes of animated visualizations with audio narration to allow you to grasp the concepts.
• These 14 lessons will give you the background and confidence to understand and conduct 2-sample t-tests in comparing two means.

• Professionals who need an easy and visual explanation for how to tell if two sets of data are statistically significant. Excel Calculator Package !
• Students who are having trouble with dry formula based textbook explanations and who prefer visual learning.

## Select Sample Screen Shots

 New Image a The test-statistic and p-value What is the t-distribution and p-value and how do they tell us how differences between means are likely due to chance or represent real differences. Visualize instead of memorize Animated Flash movies with with audio narration allow you to focus on the concept instead of difficult to understand formulas. Sampling Distribution of the Mean Differences Much of statistical inference comes down to understanding how much a sample mean or the difference between two sample means fluctuate. This distribution is called the sampling distribution and this lesson provides a visual and animated overview of this fundamental concept. Concrete examples with memorable visuals The tutorial takes a concrete example (do street signs slow cars down) and walks through how you can use the 2-sample t-test to answer this question. Testing your hypothesis using the Null Hypothesis Statistical tests use a framework called hypothesis testing and the concept of the Null Hypothesis (no difference between means). This lesson covers how to think about what you're comparing in the larger framework of hypothesis testing.

## Topics Covered

• Understand the role of chance in comparing two samples
• The t-distribution
• The p-value
• Null Hypothesis and Alternative Hypothesis as applied to comparing means
• Combining estimates of variances
• Create the t-statistic
• The Standard Error of the Mean Differences
• Sampling Distribution of the Mean Difference
• Confidence Interval Around the Mean Differences
• Using the easyT package to conduct a 2-sample t-test
• Using Minitab to conduct a 2-sample t-test

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