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2-Sample t-test Tutorial
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.
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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.

Who Should Buy

  • 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.


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The test-statistic and p-value

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

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

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

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

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



    $69.99     Now :  

If more than one person will be viewing the tutorial, please purchase the site license All major credit cards, debit cards and PayPal Accepted.