Copyright

Ch 48: TExMaT Master Mathematics Teacher 8-12: Data & Statistics

About This Chapter

Review this chapter's video lessons on data and statistics, and help increase your chances of correctly answering related questions on the TExMaT Master Mathematics Teacher 8-12 examination. The chapter includes preparatory lesson quizzes.

TExMaT Master Mathematics Teacher 8-12 - Data and Statistics - Chapter Summary

In order to get ready to take the TExMaT Master Mathematics Teacher 8-12 examination, you'll want to build upon your ability to organize and measure data. Review the lessons in this chapter's videos to strengthen your comprehension of ratio measurements and inferential statistics. Use the provided examples to increase your knowledge of categorical, continuous and discrete data. This chapter might help you to:

  • Show the differences between inferential and descriptive statistics, and mark the contrasts between samples and populations
  • Describe parameters and statistics, and give examples
  • Define quantitative and categorical data
  • Understand continuous and discrete data
  • Measure a model's strength
  • Discover how to group nominal, ordinal and interval data

Determine what areas you need to review when you watch these instructor-driven video lessons. They are self-paced and concise as well as entertaining. Get a handle on these topics before taking the TExMaT Master Mathematics Teacher 8-12 examination. In addition to written transcripts, the videos come with quizzes and a practice multiple-choice chapter examination that test your progress.

TExMaT Master Mathematics Teacher 8-12 - Data and Statistics Objectives

The TExMaT Master Mathematics Teacher 8-12 Exam is designed for teachers interested in master-level teaching certification. The concepts you reviewed in this chapter and the answers you provided on its short lesson quizzes could prepare you to answer similar questions on the probability and statistics section of the examination. This section adds up to 14% of the overall test score. You must answer 90 multiple-choice questions and complete one case study assignment during the five-hour paper-administered examination.

12 Lessons in Chapter 48: TExMaT Master Mathematics Teacher 8-12: Data & Statistics
Test your knowledge with a 30-question chapter practice test
Descriptive & Inferential Statistics: Definition, Differences & Examples

1. 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.

Difference between Populations & Samples in Statistics

2. 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!

Defining the Difference between Parameters & Statistics

3. Defining the Difference between Parameters & Statistics

Using data to describe information can be tricky. The first step is knowing the difference between populations and samples, and then parameters and statistics.

Estimating a Parameter from Sample Data: Process & Examples

4. Estimating a Parameter from Sample Data: Process & Examples

One of the most useful things we can do with data is use it to describe a population. Learn how in this lesson as we discuss the concepts of parameters and samples.

What is Quantitative Data? - Definition & Examples

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.

What is Categorical Data? - Definition & Examples

6. 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.

Discrete & Continuous Data: Definition & Examples

7. 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!

Nominal, Ordinal, Interval & Ratio Measurements: Definition & Examples

8. 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.

The Purpose of Statistical Models

9. The Purpose of Statistical Models

Understanding statistics requires that you understand statistical models. This lesson will help you understand the purpose of statistics, statistical models, and types of variables.

Experiments vs Observational Studies: Definition, Differences & Examples

10. Experiments vs Observational Studies: Definition, Differences & Examples

There are different ways to collect data for research. In this lesson, you will learn about collecting data through observational studies and experiments and the differences between each.

Random Selection & Random Allocation: Differences, Benefits & Examples

11. Random Selection & Random Allocation: Differences, Benefits & Examples

Random selection and random allocation are often confused with one another. This lesson will help you remember the differences between them and learn how to use each method.

Convenience Sampling in Statistics: Definition & Limitations

12. Convenience Sampling in Statistics: Definition & Limitations

Convenience sampling is one of the most common types of sampling in research. This is because of the benefits that convenience sample brings to the researcher. However, there are some limitations. You will learn about both in this lesson.

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.

Other Chapters

Other chapters within the TExMaT Master Mathematics Teacher 8-12 (089): Practice & Study Guide course

Support