Ch 28: GRE Quantitative Reasoning: Interpreting Statistical Data

About This Chapter

Get ready to take the GRE Quantitative Reasoning exam by reviewing this chapter on interpreting statistical data. The video lessons and quizzes provided here are professionally designed and accessible to you 24 hours a day on any mobile device or computer.

GRE Quantitative Reasoning: Interpreting Statistical Data - Chapter Summary

In this chapter, you'll find engaging video lessons that help you understand how to interpret statistical data as you study for the GRE Quantitative Reasoning exam. You can review the process of creating and interpreting scatterplots as well as see examples of these kinds of data sets. Once you finish this chapter, you should be ready to:

  • Define a line graph with examples
  • Outline the measures of central tendency, including mode, mean and median
  • Calculate and interpret quartiles
  • Give the formula used for percentile rank in statistics

Our helpful chapter is easy to use so you can get the most out of your studies. To quickly navigate any of the videos, use the video tabs provided in the Timeline. Help from one of our experts is available in the Dashboard if you have any questions along the way.

5 Lessons in Chapter 28: GRE Quantitative Reasoning: Interpreting Statistical Data
Test your knowledge with a 30-question chapter practice test
Creating & Interpreting Scatterplots: Process & Examples

1. Creating & Interpreting Scatterplots: Process & Examples

Scatterplots are a great visual representation of two sets of data. In this lesson, you will learn how to interpret bivariate data to create scatterplots and understand the relationship between the two variables.

What is a Line Graph? - Definition & Examples

2. What is a Line Graph? - Definition & Examples

In this lesson, we'll explore the function and examples of a line graph. Then, you will learn to create questions and interpret data from line graphs. A brief quiz follows.

Mean, Median & Mode: Measures of Central Tendency

3. Mean, Median & Mode: Measures of Central Tendency

By describing the data using central tendency, a researcher and reader can understand what the typical score looks like. In this lesson, we will explore in more detail these measures of central tendency and how they relate to samples and populations.

Calculating & Interpreting Quartiles

4. Calculating & Interpreting Quartiles

If you're going to divide a data set into four groups in order to make a box and whisker plot, then it would likely be very helpful to know where to split the data. Quartiles tell you exactly where to make the divisions.

Percentile Rank in Statistics: Definition & Formula

5. Percentile Rank in Statistics: Definition & Formula

In this lesson, you will learn to define percentile rank and learn how it is calculated. Following this lesson, you will have the opportunity to test your knowledge with a short quiz.

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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