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Ch 39: TExES Core Subjects 4-8: Summarizing Data

About This Chapter

This chapter prepares you for content you'll encounter on the Texas Examinations of Educator Standards (TExES) Core Subjects 4-8 test. The subject matter covered in these lessons deals with understanding and utilizing data.

TExES Core Subjects 4-8: Summarizing Data - Chapter Summary

Our expert instructors have assembled this chapter's lessons and quizzes so you can brush up on summarizing data. The lessons will help you answer any TExES Core Subjects 4-8 test questions about the following lesson topics:

  • Simple random samples
  • Calculation of mean, median, mode and range
  • The visual representation of a data set
  • Bimodal and unimodal distributions
  • Spread, maximums, minimums and outliers in a data set
  • Quartiles and the interquartile range
  • Sample variance and population

These video lessons have an average run time of 5-10 minutes. After finishing a lesson, you can take a practice quiz or just go on to the next lesson. You'll find helpful tools, such as the Timeline, which makes it easy to find specific material covered in a video lesson. You can ask instructors any questions that you have using either the lessons' 'Teacher' tabs or your Dashboard.

8 Lessons in Chapter 39: TExES Core Subjects 4-8: Summarizing Data
Test your knowledge with a 30-question chapter practice test
Simple Random Samples: Definition & Examples

1. Simple Random Samples: Definition & Examples

Simple random sampling is a common method used to collect data in many different fields. From psychology to economics, simple random sampling can be the most feasible way to get information. Learn all about it in this lesson!

How to Calculate Mean, Median, Mode & Range

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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.

Population & Sample Variance: Definition, Formula & Examples

8. 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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