Copyright

Ch 10: TECEP Principles of Statistics: t-Tests

About This Chapter

Improve your knowledge of t-tests in statistics with these video lessons and interactive quizzes. The chapter will help you answer the types of t-test questions you can expect on the TECEP Principles of Statistics credit-granting exam.

TECEP Principles of Statistics: t-Tests - Chapter Summary

Study the lessons in this chapter to understand, perform and interpret t-tests and prepare for the t-test portion of the TECEP Principles of Statistics exam. The chapter will help you fully understand the following skills needed to answer the exam's t-test questions:

  • Understanding t-test procedures
  • Interpreting t-tests
  • Assessing statistical differences in t-tests
  • Knowing the steps for one-sample t-tests
  • Explaining matched-group design

Our expert statistics instructors will walk you through t-test procedures and help you interpret test results. After studying the lesson material, you can take multiple-choice quizzes to help you make sure you fully understand the definitions and concepts related to t-tests.

6 Lessons in Chapter 10: TECEP Principles of Statistics: t-Tests
Test your knowledge with a 30-question chapter practice test
What Is a T-Test? - Procedure, Interpretation & Examples

1. What Is a T-Test? - Procedure, Interpretation & Examples

T-tests are used to compare two means to assess whether they are from the same population. T-tests presume that both groups are normally distributed and have relatively equal variances. The t-statistic is distributed on a curve that is based on the number of degrees of freedom (df). There are three kinds of t-tests: independent-samples, paired-samples, and one-sample.

How to Do 1-Sample t-Tests: Steps & Tutorial

2. How to Do 1-Sample t-Tests: Steps & Tutorial

In this lesson, you will learn how to calculate the ''t''-score for a set of data and use it to determine whether the sample mean and population mean are statistically different.

What Are t-Tests? - Assessing Statistical Differences Between Groups

3. What Are t-Tests? - Assessing Statistical Differences Between Groups

This lesson explores how a researcher may use a t-Test. In addition, simple to follow instructions will demonstrate how to manually complete a t-Test.

Variance Estimation: Definition & Example

4. Variance Estimation: Definition & Example

Two sets of data can have the same mean, but be distributed very differently. Variance measures how spread out a set of data is. In this lesson, we will learn how to calculate variance and how it is used in hypothesis testing.

What is Repeated Measures Design? - Definition & Example

5. What is Repeated Measures Design? - Definition & Example

Repeated measures design is important in many types of scientific research. In this lesson, you'll learn how to use repeated measures design and explore some of its strengths and weaknesses.

Matched-Group Design: Definition & Examples

6. Matched-Group Design: Definition & Examples

Choosing how to divide subjects into groups is a major part of experimental design. In this lesson, we'll look at a type of non-random assignment, matched-group design, and its strengths and limitations.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
Not Taken
Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
Not Taken

Earning College Credit

Did you know… We have over 200 college courses that prepare you to earn credit by exam that is accepted by over 1,500 colleges and universities. You can test out of the first two years of college and save thousands off your degree. Anyone can earn credit-by-exam regardless of age or education level.

To learn more, visit our Earning Credit Page

Transferring credit to the school of your choice

Not sure what college you want to attend yet? Study.com has thousands of articles about every imaginable degree, area of study and career path that can help you find the school that's right for you.

Support