Ch 15: Data Analysis in Math

About This Chapter

Watch these fun math videos to review the fundamentals of data analysis. The videos and accompanying quizzes offer you a convenient way to study for exams, get homework help, catch up in class and boost your data analysis skills.

Data Analysis in Math - Chapter Summary

In this chapter, you'll review a series of engaging video lessons that cover basic topics related to the analysis of data. The chapter offers expert instruction on how to analyze data from various types of charts, graphs, tables and more. Upon completion of the chapter, you should be able to:

  • Understand bar graphs, line graphs and pie charts
  • Create/interpret scatterplots and histograms
  • Figure out percent increase with cumulative and relative frequency tables
  • Calculate standard deviation, mean, median, mode and range
  • Recognize the characteristics of normal data distribution

After each lesson, you'll have a chance to reinforce what you've studied by taking a short quiz. Take the chapter exam to further solidify your math skills, and feel free to submit questions to our subject-matter experts if you have any. The chapter is also available at any time of day or night, which makes the studying process flexible and easy.

8 Lessons in Chapter 15: Data Analysis in Math
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 & Interpreting Scatterplots: Process & Examples

3. 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.

Creating & Interpreting Histograms: Process & Examples

4. 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.

How to Calculate Percent Increase with Relative & Cumulative Frequency Tables

5. 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.

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.

Calculating the Standard Deviation

7. Calculating the Standard Deviation

In this lesson, we will examine the meaning and process of calculating the standard deviation of a data set. Standard deviation can help to determine if the data set is a normal distribution.

Normal Distribution of Data: Examples, Definition & Characteristics

8. Normal Distribution of Data: Examples, Definition & Characteristics

In this lesson, we'll explore the normal distribution of data. Learn about the characteristics of normal distribution, how to plot histograms, the empirical rule, and more.

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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