Ch 35: Measuring & Displaying Data

About This Chapter

This chapter can teach you about measurement scales and the various ways of interpreting, organizing and displaying quantitative data. Use these video lessons and online tests to understand and utilize descriptive statistics.

Measuring & Displaying Data - Chapter Summary

This chapter's comprehensive lessons teach you how to choose and use an appropriate measurement scale to answer research questions and analyze data. A variety of formats for displaying data are covered, including tables, pie charts and histograms. You'll look at the measures of central tendency, such as mean, median and mode, as well as learning the difference between mean and median. Dispersion, which includes range and standard deviation, is also included in this chapter. A practice lesson will give you a chance to use what you've studied in calculating mean, median, mode and range.

Another lesson covers the application of linear transformations, such as stretching and shrinking, and describes the effect of these transformations on measures of central tendency and dispersion. You'll learn about standard deviation and shifts in the mean. By the end of this chapter's lessons, you'll have a solid understanding of topics that include:

  • Quantitative data
  • Meaning of nominal, ordinal, interval and ratio
  • Creating and interpreting histograms
  • Dot plots and box plots
  • Calculating mean, median, mode and ratio
  • Spread, shape, symmetry and skewness in data sets
  • Maximums, minimums and outliers
  • Quartiles and the interquartile range

Expert instructors guide you through each topic, using examples from the real world to make their points. Written transcripts of the lessons accompany the videos, giving you access to this material in two formats. You can test what you've learned with the multiple-choice quizzes at the end of each lesson. The questions contain links that lead back to key points and passages, making it easy to review material without re-watching the lesson in its entirety.

8 Lessons in Chapter 35: Measuring & Displaying 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.

Nominal, Ordinal, Interval & Ratio Measurements: Definition & Examples

2. Nominal, Ordinal, Interval & Ratio Measurements: Definition & Examples

Different types of data can be grouped and measured in different ways. In this lesson, you will learn about nominal, ordinal, interval, and ratio measurements.

Understanding Bar Graphs and Pie Charts

3. Understanding Bar Graphs and Pie Charts

In this lesson, we will examine two of the most widely used types of graphs: bar graphs and pie charts. These two graphs can provide the reader with a comparison of the different data that is displayed.

Frequency & Relative Frequency Tables: Definition & Examples

4. 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.

Creating & Interpreting Histograms: Process & Examples

5. 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 & Reading Stem & Leaf Displays

6. Creating & Reading Stem & Leaf Displays

Every once in a while you will come across stem-and-leaf displays in statistics. These displays can be very useful in identifying all of the values in a data set while still visually representing the data.

Creating & Interpreting Dot Plots: Process & Examples

7. Creating & Interpreting Dot Plots: Process & Examples

Dot plots are a visual way to display the frequency distribution in a data set. In this lesson, you will learn how to construct a dot plot and understand its uses.

Creating & Interpreting Box Plots: Process & Examples

8. 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!

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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