Ch 14: Saxon Algebra 2: Statistics

About This Chapter

The Statistics chapter of this Saxon Algebra 2 Companion Course helps students learn the essential lessons associated with statistics. Each of these simple and fun video lessons is about five minutes long and is sequenced to align with the Statistics textbook chapter.

How It Works:

  • Identify the lessons in the Saxon Statistics chapter with which you need help.
  • Find the corresponding video lessons with this companion course chapter.
  • Watch fun videos that cover the statistics topics you need to learn or review.
  • Complete the quizzes to test your understanding.
  • If you need additional help, rewatch the videos until you've mastered the material or submit a question for one of our instructors.

Students will learn:

  • Stem-and-leaf displays
  • Histograms
  • Box plots
  • Central tendency, median, mode and mean
  • Normal curves in statistics
  • Standard deviation

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6 Lessons in Chapter 14: Saxon Algebra 2: Statistics
Test your knowledge with a 30-question chapter practice test
Creating & Reading Stem & Leaf Displays

1. Creating & Reading Stem & Leaf Displays

Creating and reading stem-and-leaf displays are relevant to understanding how to interpret visual data sets. Learn to identify what a stem-and-leaf display is and why it is useful.

Creating & Interpreting Histograms: Process & Examples

2. Creating & Interpreting Histograms: Process & Examples

A histogram is a diagram that provides a graphical picture of the points in a data set. Learn about creating and interpreting histograms by exploring the process and examples. Understand the purpose of histograms, practice interpreting a histogram, and recognize when data is skewed and what this means.

Creating & Interpreting Box Plots: Process & Examples

3. Creating & Interpreting Box Plots: Process & Examples

A box plot is an essential tool to help with statistical analysis by using both graphs and number lines to assist in visualizing the data. Discover how to create and interpret box plots by learning each separate element in the process and work through real-world examples.

Measures of Central Tendency: Definitions & Practice

4. Measures of Central Tendency: Definitions & Practice

A central tendency is much better known by its far more commonly used synonym, average. Explore the meaning of the terms central tendency, mode, mean and median, learn to calculate these three values from provided data, and then take a short quiz.

Normal Distribution: Definition, Properties, Characteristics & Example

5. Normal Distribution: Definition, Properties, Characteristics & Example

A normal distribution is a probability distribution characterized by a bell-shaped curve. Learn about the definition, properties, characteristics, and examples of normal distribution, and discover the empirical rule for normally distributed data.

Calculating the Standard Deviation

6. Calculating the Standard Deviation

Standard deviation helps determine if a set of data is normally distributed by measuring how closely the data set surrounds the mean, or average. Learn about standard deviation, including the steps to calculate it. Explore variance, review examples of calculations, and understand what standard deviation means in regard to a data set.

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.
Not Taken
More Exams
There are even more practice exams available in Saxon Algebra 2: Statistics.

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