About This Chapter
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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