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Ch 29: TExES Math 4-8: Summarizing Data

About This Chapter

These lessons show the level of mastery in summarizing data you need to demonstrate on the TExES Math 4-8 certification exam. Use our chapter resources, including videos and self-assessments, to help you refresh crucial skills and pass the test.

TExES Math 4-8: Summarizing Data - Chapter Summary

These lessons enhance your ability to summarize data for the TExES Math 4-8 exam. Some of the topics covered include quantitative data, the conditions and measures of random sampling and the center in a data set. After you complete this chapter, you should be ready to:

  • Calculate median, range, mode and mean
  • Outline visual representations of a data set, including symmetry, skewness and shape
  • Give examples of unimodal and bimodal distributions
  • Define spread in data sets and give examples
  • Identify minimums, maximums and outliers in a data set
  • Explain quartiles and the interquartile range
  • Use a formula to find percentiles in a data set
  • Provide a definition and examples of population and sample variance

Our highly qualified instructors highlight key concepts for easy, efficient review. Timeline tags are designed to help you jump to specific video sections. If you have any questions about these subjects as you move through the chapter, contact one of our experts through the Dashboard.

11 Lessons in Chapter 29: TExES Math 4-8: Summarizing Data
Test your knowledge with a 30-question chapter practice test
What is Quantitative Data? - Definition & Examples

1. 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 Random Sampling? - Definition, Conditions & Measures

2. What is Random Sampling? - Definition, Conditions & Measures

Random sampling is used in many research scenarios. In this lesson, you will learn how to use random sampling and find out the benefits and risks of using random samples.

What is the Center in a Data Set? - Definition & Options

3. What is the Center in a Data Set? - Definition & Options

Finding the center in a data set can sometimes be a little confusing. This lesson will help you determine the correct method for finding the center in a data set, and when you are finished, test your knowledge with a short quiz!

How to Calculate Mean, Median, Mode & Range

4. How to Calculate Mean, Median, Mode & Range

Measures of central tendency can provide valuable information about a set of data. In this lesson, explore how to calculate the mean, median, mode and range of any given data set.

Visual Representations of a Data Set: Shape, Symmetry & Skewness

5. Visual Representations of a Data Set: Shape, Symmetry & Skewness

Visual representations are a fantastic way of understanding and analyzing your data. Use this lesson to understand the characteristics of visual representations of data.

Unimodal & Bimodal Distributions: Definition & Examples

6. Unimodal & Bimodal Distributions: Definition & Examples

Sometimes a single mode does not accurately describe a data set. In this lesson, learn the differences between and the uses of unimodal and bimodal distribution. When you are finished, test your knowledge with a quiz!

Spread in Data Sets: Definition & Example

7. Spread in Data Sets: Definition & Example

Identifying the spread in data sets is a very important part of statistics. You can do this several ways, but the most common methods are through range, interquartile range, and variance.

Maximums, Minimums & Outliers in a Data Set

8. Maximums, Minimums & Outliers in a Data Set

When analyzing data sets, the first thing to identify is the maximums, minimums, and outliers. This lesson will help you learn how to identify these important items.

Quartiles & the Interquartile Range: Definition, Formulate & Examples

9. Quartiles & the Interquartile Range: Definition, Formulate & Examples

Quartiles and the interquartile range can be used to group and analyze data sets. In this lesson, learn the definition and steps for finding the quartiles and interquartile range for a given data set.

Finding Percentiles in a Data Set: Formula & Examples

10. Finding Percentiles in a Data Set: Formula & Examples

Percentiles are often used in academics to compare student scores. Finding percentiles in a data set can be a useful way to organize and compare numbers in a data set.

Population & Sample Variance: Definition, Formula & Examples

11. Population & Sample Variance: Definition, Formula & Examples

Population and sample variance can help you describe and analyze data beyond the mean of the data set. In this lesson, learn the differences between population and sample variance.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
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Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
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Other Chapters

Other chapters within the TExES Mathematics 4-8 Exam (115): Study Guide & Review course

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