Ch 10: Explorations in Core Math Algebra 1 Chapter 10: Data Analysis

About This Chapter

The Data Analysis chapter of this Explorations in Core Math Algebra 1 Companion Course aligns with the same chapter in the Explorations in Core Math Algebra 1 textbook. These simple and fun video lessons are about five minutes long and help you learn the essential lessons about data analysis.

How It Works:

  • Find the lesson within this chapter that corresponds to what you're studying in the Data Analysis chapter of your textbook.
  • Watch fun videos that cover the mathematical concepts you need to learn or review.
  • Complete the quiz after watching each video lesson 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.

Chapter Topics

You'll learn all of the math topics covered in the textbook chapter, including:

  • Frequency and relative frequency tables
  • Calculating percent increases
  • Creating and interpreting histograms
  • Types of frequency distributions
  • Mean, median and mode
  • Quartiles and interquartile range
  • Measure of variability
  • Creating and interpreting box plots
  • Maximums, minimums and outliers
  • Misleading uses in statistics
  • Experimental probability
  • Theoretical probability
  • Using probability models to predict
  • Independent and dependent events

Explorations in Core Math is a registered trademark of Houghton Mifflin Harcourt, which is not affiliated with Study.com.

13 Lessons in Chapter 10: Explorations in Core Math Algebra 1 Chapter 10: Data Analysis
Test your knowledge with a 30-question chapter practice test
Frequency & Relative Frequency Tables: Definition & Examples

1. 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.

How to Calculate Percent Increase with Relative & Cumulative Frequency Tables

2. How to Calculate Percent Increase with Relative & Cumulative Frequency Tables

In statistics, one way to describe and analyze data is by using frequency tables. This lesson will discuss relative and cumulative frequencies and how to calculate percent increase using these two methods.

Creating & Interpreting Histograms: Process & Examples

3. 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.

Frequency Distributions: Definition & Types

4. 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.

Mean, Median & Mode: Measures of Central Tendency

5. Mean, Median & Mode: Measures of Central Tendency

By describing the data using central tendency, a researcher and reader can understand what the typical score looks like. In this lesson, we will explore in more detail these measures of central tendency and how they relate to samples and populations.

Quartiles & the Interquartile Range: Definition, Formulate & Examples

6. Quartiles & the Interquartile Range: Definition, Formulate & Examples

Quartiles and the interquartile range can be used to group and analyze data sets. In this lesson, learn the definition and steps for finding the quartiles and interquartile range for a given data set.

Measures of Variability: Range, Variance & Standard Deviation

7. 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.

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!

Maximums, Minimums & Outliers in a Data Set

9. Maximums, Minimums & Outliers in a Data Set

When analyzing data sets, the first thing to identify is the maximums, minimums, and outliers. This lesson will help you learn how to identify these important items.

Misleading Uses of Statistics

10. Misleading Uses of Statistics

It can be too easy to present statistics in a way that is misleading. This lesson will cover the ways in which a statistic can be misleading and how to avoid and identify misleading statistics.

Experimental Probability: Definition & Predictions

11. Experimental Probability: Definition & Predictions

In this lesson, you're going to learn about the concept of experimental probability and apply it to coins, dice, a deck of cards, and even real world scenarios.

What is Theoretical Probability? - Definition, Formula & Examples

12. What is Theoretical Probability? - Definition, Formula & Examples

Have you ever heard someone ask, 'What are the odds?' Usually what it is meant is, 'How likely is it that an event will happen?' This lesson explores finding the likelihood, or theoretical probability, that an event could occur.

Probability of Independent and Dependent Events

13. 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.

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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