About This Chapter
TECEP Principles of Statistics: Measurement - Chapter Summary
You can learn about the different types of measurements used in statistics by watching this chapter's video lessons and taking the accompanying multiple-choice quizzes. The chapter will make sure you have the knowledge and skills needed for the measurement portion of the TECEP Principles of Statistics exam. This chapter covers the following skills:
- Defining descriptive and inferential statistics and understanding the differences between them
- Understanding nominal, ordinal, interval and ratio measurements
- Identifying examples of discrete and continuous data
- Making sense of quantitative data
- Differentiating between quantitative and qualitative measurement
- Explaining categorical data
- Recognizing the differences between samples and populations
These lessons offer easy-to-understand definitions and illustrative examples of several measurement concepts. The videos will help you tell the differences between measurement types, which is necessary for developing a solid understanding of statistics. Statistics experts are available to answer any questions you may have, and after you work your way through the chapter, you can take the chapter exam to make sure you've fully grasped and internalized these measurement definitions.
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2. Descriptive & Inferential Statistics: Definition, Differences & Examples
Descriptive and inferential statistics each give different insights into the nature of the data gathered. One alone cannot give the whole picture. Together, they provide a powerful tool for both description and prediction.
3. Nominal, Ordinal, Interval & Ratio Measurements: Definition & Examples
Different types of data can be grouped and measured in different ways. In this lesson, you will learn about nominal, ordinal, interval, and ratio measurements.
4. Discrete & Continuous Data: Definition & Examples
You might be surprised to find that data is more than just a collection of numbers. Data is divided into several categories, including discrete and continuous data. Find out why!
5. What is Quantitative Data? - Definition & Examples
Watch this video lesson to find out the difference between saying you have seven apples and saying that those apples are delicious. You will learn about quantitative data and why it is useful.
6. The Difference Between Qualitative & Quantitative Measurement
In research, there are generally two types of data. In this lesson, we'll look at quantitative and qualitative measurement, when each are used, and how researchers can sometimes use both.
7. What is Categorical Data? - Definition & Examples
Categorical data is one of two types of data that you can collect when conducting research. This lesson will teach you how to understand and use categorical data.
8. Difference between Populations & Samples in Statistics
Before you start collecting any information, it is important to understand the differences between population and samples. This lesson will show you how!
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Other chapters within the TECEP Principles of Statistics: Study Guide & Test Prep course
- 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: t-Tests
- TECEP Principles of Statistics: ANOVA
- TECEP Principles of Statistics: Chi-Square Test
- TECEP Principles of Statistics Flashcards