Ch 10: Chapter 10: Data Analysis and Probability

About This Chapter

The Data Analysis and Probability chapter of this Holt McDougal Algebra I Companion Course helps students learn essential algebra lessons about data analysis and probability. Each of these simple and fun video lessons is about five minutes long and is sequenced to align with the Data Analysis and Probability textbook chapter.

How It Works:

  • Identify the lessons in the Holt McDougal Data Analysis and Probability chapter with which you need help.
  • Find the corresponding video lessons within this companion course chapter.
  • Watch fun videos that cover the data analysis and probability 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 about:

  • Interpreting pie charts, line graphs and bar graphs
  • Frequency tables along with relative frequency tables
  • Constructing stem and leaf displays and box plots
  • Using histograms in math
  • Solving mean, median, mode and range problems
  • Dealing with deceitful graphs and stats
  • Differentiating between experimental and theoretical probability
  • Predicting the probability of dependent and independent events
  • Working with the 'At Least One' rule

Holt McDougal is a registered trademark of Houghton Mifflin Harcourt, which is not affiliated with Study.com.

9 Lessons in Chapter 10: Chapter 10: Data Analysis and Probability
Test your knowledge with a 30-question chapter practice test
Understanding Bar Graphs and Pie Charts

1. 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.

Reading and Interpreting Line Graphs

2. Reading and Interpreting Line Graphs

Watch this video lesson to find out how useful line graphs can be and how much information you can gain just from looking at one. Learn how you can apply that information in your own life to help you make better decisions.

Creating & Reading Stem & Leaf Displays

3. 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.

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.

What is a Histogram in Math? - Definition & Examples

5. What is a Histogram in Math? - Definition & Examples

Watch this video lesson to see how useful a histogram can be when you need to show a bunch of data in an easy to read format. Also, learn how you can easily gather the information you need from looking at a histogram.

How to Calculate Mean, Median, Mode & Range

6. 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.

Creating & Interpreting Box Plots: Process & Examples

7. 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!

Probability of Independent and Dependent Events

8. Probability of Independent and Dependent Events

Sometimes probabilities need to be calculated when more than one event occurs. These types of compound events are called independent and dependent events. Through this lesson, we will look at some real-world examples of how to calculate these probabilities.

Probability of Independent Events: The 'At Least One' Rule

9. Probability of Independent Events: The 'At Least One' Rule

Occasionally when calculating independent events, it is only important that the event happens once. This is referred to as the 'At Least One' Rule. To calculate this type of problem, we will use the process of complementary events to find the probability of our event occurring at least once.

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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