About This Chapter
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.
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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.
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.
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.
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.
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.
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.
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Other chapters within the TECEP Principles of Statistics: Study Guide & Test Prep course
- TECEP Principles of Statistics: Measurement
- TECEP Principles of Statistics: Summarizing Data
- TECEP Principles of Statistics: Central Tendency & Variability
- TECEP Principles of Statistics: Probability
- TECEP Principles of Statistics: Probability Distributions
- TECEP Principles of Statistics: Correlation
- TECEP Principles of Statistics: Regression
- TECEP Principles of Statistics: Population, Samples & Probability
- TECEP Principles of Statistics: Hypothesis Testing & Estimation
- TECEP Principles of Statistics: ANOVA
- TECEP Principles of Statistics: Chi-Square Test
- TECEP Principles of Statistics Flashcards