About This Chapter
Numerical Data Representation - Chapter Summary
These engaging lessons introduce you to the various ways numerical data is represented. Our expert instructors cover topics such as scientific notation, significant figures and how to build and read a stem and leaf display. You'll also review the process needed to create another data representation called a histogram. After working through these lessons, you will be able to:
- Give examples of quantitative data
- Create a dot plot and interpret its data
- Illustrate data using a scatterplot
- Understand when a logarithmic scale is the best way to represent information
Our video lessons are short, engaging and easy to follow. You can take the accompanying multiple-choice quizzes to ensure you are ready to move on to the next lesson. If you find you would like to review a topic covered in a video lesson, use the video tabs feature to skip directly to that section. You can also print out the video transcripts, which outline the essential topics and keywords in bold print for easy study.
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.
2. Significant Figures and Scientific Notation
Are 7.5 grams and 7.50 grams the same? How do scientists represent very large and very small quantities? Find out the answers to these questions in this video.
3. 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.
4. 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.
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.
6. 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.
7. Logarithmic Scale: Definition & Overview
A logarithmic scale is a useful way to represent information on a graph, especially when there are exponential changes in the magnitude of the numbers. Learn more, look at several examples and take a quiz to test your knowledge.
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Other chapters within the VCE Further Mathematics: Exam Prep & Study Guide course
- Population & Samples
- Categorical Data Representation
- Data Distribution
- Correlation & Causation in Math
- Non-Causal Relationships in Statistics
- Linear Relationships
- Time Series Data
- Recursion & Financial Modeling
- Concepts of Financial Mathematics
- Matrices Overview
- Graphs & Networks
- Paths & Circuits
- Problem Solving With Networks
- Geometric Solids
- Measurement & Trigonometry
- Spherical Geometry
- Applications of Spherical Geometry
- Graphs & Relations
- Linear Programming Overview
- VCE Further Mathematics Flashcards