Ch 14: Visualizing Statistics

About This Chapter

In this overview of visualizing statistics, learn about topics like frequency, range, graphical representations, standard deviation, and variance in statistics. These brief lessons are a great resource for individuals preparing for an exam or who need to supplement their math studies.

Visualizing Statistics - Chapter Summary

This chapter includes lessons on visualizing statistics that will help you better understand inferential statistics, cumulative frequency tables, pie charts, regression lines, and more. The discussions will also cover topics like calculating the standard deviation or using other measures to understand data. After completing the chapter, you should be prepared to:

  • Explain descriptive and inferential statistics
  • Create histograms and frequency distributions
  • Understand large amounts of data using cumulative frequency tables
  • Interpret lines, bar graphs, and pie charts
  • Analyze and interpret data using frequency polygons
  • Measure central tendencies by calculating the mean, mode, range, and median
  • Explain the relationship between correlation and scatterplots
  • Interpret data using simple linear regression

We use brief video lessons to elevate your understanding of the concepts presented. Our expert instructors provide plenty of examples, and the videos also allow you to easily navigate to specific topics. A brief multiple-choice quiz is available for each lesson to test your knowledge, and the quizzes have links back to specific topics in the video for further review.

11 Lessons in Chapter 14: Visualizing Statistics
Test your knowledge with a 30-question chapter practice test
Descriptive & Inferential Statistics: Definition, Differences & Examples

1. Descriptive & Inferential Statistics: Definition, Differences & Examples

Descriptive and inferential statistics each give different insights into the nature of the data gathered. One alone cannot give the whole picture. Together, they provide a powerful tool for both description and prediction.

Frequency Distributions: Definition & Types

2. Frequency Distributions: Definition & Types

This lesson explores the process of creating frequency distributions and histograms to give readers of your future scientific articles a numerical or visual way to understand the data you have presented.

Cumulative Frequency Tables: Definition, Uses & Examples

3. Cumulative Frequency Tables: Definition, Uses & Examples

Cumulative frequency tables can help you analyze and understand large amounts of information. In this lesson, you practice creating and interpreting cumulative frequency tables.

Interpreting Graphical Representations

4. Interpreting Graphical Representations

After watching this video lesson, you will be able to quickly and easily read and interpret any line and bar graph. You will be able to gather important information by just looking at one of these graphs.

What is a Pie Chart? - Definition & Examples

5. What is a Pie Chart? - Definition & Examples

Learn how useful pie charts can be in your life and how you can gain information by just glancing at one. Look over some examples, learn how to create pie charts yourself, and then take a short quiz.

Creating & Interpreting Histograms: Process & Examples

6. 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.

Creating & Interpreting Frequency Polygons: Process & Examples

7. Creating & Interpreting Frequency Polygons: Process & Examples

Frequency polygons can be used to analyze data sets in many different ways. They are also a great way to visualize and compare two sets of data. In this lesson, learn the uses and create a frequency polygon.

How to Calculate Mean, Median, Mode & Range

8. 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.

Measures of Variability: Range, Variance & Standard Deviation

9. Measures of Variability: Range, Variance & Standard Deviation

Looking specifically at range, variance, and standard deviation, this lesson explores the relationship between these measures and samples, populations, and what it says about your data.

Scatterplot and Correlation: Definition, Example & Analysis

10. Scatterplot and Correlation: Definition, Example & Analysis

A scatterplot is used to graphically represent the relationship between two variables. Explore the relationship between scatterplots and correlations, the different types of correlations, how to interpret scatterplots, and more.

Simple Linear Regression: Definition, Formula & Examples

11. Simple Linear Regression: Definition, Formula & Examples

Simple linear regression is a great way to make observations and interpret data. In this lesson, you will learn to find the regression line of a set of data using a ruler and a graphing calculator.

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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