This edition: Comparing Two Means
In this lesson we learn about a second and important t procedure, the two-sample t test. This test is one of the most widely used statistical tests. It is used to compare the means of two groups of data. It is a quantitative assessment that deals with real values such as pulse rates or cholesterol levels between two groups of patients receiving different treatments.
Statisticians often make judgments about the means of two groups. Comparing these numbers to each other can provide evidence that an intervention performed on one group is more effective than a comparable treatment or no treatment on another group. Two-sample tests allow researchers to compare groups directly without having to estimate a population value such as the population standard deviation. This popular test allows statisticians to easily make conclusions about comparative groups with confidence.
- Test of Significance
- Tuesday, December 12 - 9:30am
- Confidence Intervals
- Tuesday, December 5 - 9:30am
- Sampling Distributions & the Central Limit Theorem
- Tuesday, November 28 - 9:30am
- Tuesday, November 21 - 9:30am