Ch 31: TExES Core Subjects EC-6: Summarizing Data

About This Chapter

This chapter presents lessons that were designed to help prepare you for your upcoming Texas Examinations of Educator Standards (TExES) Core Subjects EC-6 test. These lessons cover data summarization, including data sets and spreads and types of data.

TExES Core Subjects EC-6: Summarizing Data - Chapter Summary

Let our subject-matter experts help you with your preparation for the TExES Core Subjects EC-6 test. These lessons focus on summarizing data and are intended as a refresher to increase your competency and help you in answering test questions on topics like:

  • Quantitative data
  • Random samples
  • Calculation of mean, median, range and mode
  • Visual representations of data sets
  • Bimodal and unimodal distributions
  • Spread, minimums, maximums and outliers in a data set
  • Quartiles and interquartile range

Our experts have created these 5-10 minute videos on summarizing data. Each lesson features a quiz at the end. If it turns out you need to go back over any of the lesson material, you can do so by referring to the video transcript provided. You can also skip directly to any specific place in the video using our keyword-based timeline tool. Another one of our very useful features allows you to submit a question to an instructor.

8 Lessons in Chapter 31: TExES Core Subjects EC-6: 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.

Simple Random Samples: Definition & Examples

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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.

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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