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Ch 6: Explorations in Core Math Grade 6 - Chapter 6: Data Collection & Analysis

About This Chapter

The Data Collection & Analysis chapter of this Explorations in Core Math Grade 6 Companion Course aligns with the same chapter in the Explorations in Core Math Grade 6 textbook. These simple and fun video lessons are about five minutes long and help you learn the essential lessons about how to gather, analyze and interpret data.

How It Works:

  • Find the lesson within this chapter that corresponds to what you're studying in the Data Collection & Analysis chapter of your textbook.
  • Watch fun videos that cover the data analysis concepts you need to learn or review.
  • Complete the quiz after watching each video lesson to test your understanding.
  • If you need additional help, rewatch the videos until you've mastered the material, or submit a question for one of our instructors.

Chapter Topics

You'll learn all of the math topics covered in the textbook chapter, including:

  • Calculating measures of central tendency
  • Definition of minimums, maximums and outliers
  • Understanding the quartile and interquartile range
  • Developing and reading box and line plots
  • Examples of frequency and relative frequency tables
  • How to build and interpret pictographs and histograms
  • Explanation of uniform, bimodal and normal distribution of data

Explorations in Core Math is a registered trademark of Houghton Mifflin Harcourt, which is not affiliated with Study.com.

11 Lessons in Chapter 6: Explorations in Core Math Grade 6 - Chapter 6: Data Collection & Analysis
Test your knowledge with a 30-question chapter practice test
How to Calculate Mean, Median, Mode & Range

1. 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.

Maximums, Minimums & Outliers in a Data Set

2. 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

3. 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.

Creating & Interpreting Box Plots: Process & Examples

4. Creating & Interpreting Box Plots: Process & Examples

Box plots are an essential tool in statistical analysis. This lesson will help you create a box plot and understand its meaning. When you are finished, test your understanding with a short quiz!

What is a Line Plot in Math? - Definition & Examples

5. What is a Line Plot in Math? - Definition & Examples

In this lesson, we will explore the functions and examples of a line plot. Also in this lesson, we will learn to create a line plot, create questions, and interpret data from a line plot.

Frequency & Relative Frequency Tables: Definition & Examples

6. Frequency & Relative Frequency Tables: Definition & Examples

Frequency and relative frequency tables are a good way to visualize information. This is especially useful for information that is grouped into categories where you are looking for popularity or mode.

Reading & Interpreting Pictographs

7. Reading & Interpreting Pictographs

Imagine reading chart after chart of the same dry information. Now imagine if that information could be presented with images and in only one chart. Much better, right? That's exactly what pictographs allow us to do.

Creating & Interpreting Histograms: Process & Examples

8. Creating & Interpreting Histograms: Process & Examples

Creating histograms can help you easily identify and interpret data. This lesson will give you several examples to better understand histograms and how to create them.

Uniform Distribution in Statistics: Definition & Examples

9. Uniform Distribution in Statistics: Definition & Examples

In this lesson we will explore uniform distributions and learn how to identify two basic types: discrete and uniform. You'll also learn how to recognize both by the shape and characteristics of their graphs.

Bimodal Distribution: Definition & Example

10. Bimodal Distribution: Definition & Example

Graphs can reveal trends and 'points of interests' like maximum and minimum values. In this lesson we are going to examine a particular phenomenon called Bimodal Distribution and demonstrate what that looks like on a graph.

Normal Distribution of Data: Examples, Definition & Characteristics

11. Normal Distribution of Data: Examples, Definition & Characteristics

In this lesson, we'll explore the normal distribution of data. Learn about the characteristics of normal distribution, how to plot histograms, the empirical rule, and more.

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

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