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Ch 2: OUP Oxford IB Math Studies Chapter 2: Descriptive Statistics

About This Chapter

The Descriptive Statistics chapter of this OUP Oxford IB Math Studies Companion Course helps students learn the essential lessons associated with descriptive statistics. Each of these simple and fun video lessons is about five minutes long and is sequenced to align with the Descriptive Statistics textbook chapter.

How It Works:

  • Find the lesson within this chapter that corresponds to what you're studying in the Descriptive Statistics 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 mathematical topics covered in the textbook chapter, including:

  • Continuous, discrete and categorical variables
  • Frequency tables
  • Measures of central tendency
  • Calculation of mean, mode, median and range
  • Measures of variability

IB Mathematical Studies Online Textbook Help is a registered trademark of Oxford University Press, which is not affiliated with Study.com.

11 Lessons in Chapter 2: OUP Oxford IB Math Studies Chapter 2: Descriptive Statistics
Test your knowledge with a 30-question chapter practice test
Continuous, Discrete & Categorical Variables: Definition and Examples

1. Continuous, Discrete & Categorical Variables: Definition and Examples

When doing research, variables come in many types. In this lesson, we'll explore the three most common types of variables: continuous, discrete, and categorical.

Samples & Populations in Research: Definition

2. Samples & Populations in Research: Definition

When planning an experiment, you will likely use groups of participants. This lesson explores the types of groups an experimenter can collect data from and the reason why there are different groups.

Frequency & Relative Frequency Tables: Definition & Examples

3. 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.

Cumulative Frequency Tables: Definition, Uses & Examples

4. Cumulative Frequency Tables: Definition, Uses & Examples

Cumulative frequency tables can help you analyze and understand large amounts of information. In this lesson, you practice creating and interpreting cumulative frequency tables.

Creating & Interpreting Histograms: Process & Examples

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.

Creating & Interpreting Box Plots: Process & Examples

6. 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!

Mean, Median & Mode: Measures of Central Tendency

7. 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.

How to Calculate Mean, Median, Mode & Range

8. 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 Mean, Median, Mode & Range: Practice Problems

9. Calculating the Mean, Median, Mode & Range: Practice Problems

Calculating the mean, median, mode, and range of a data set is a fundamental part of learning statistics. Use this video to practice your skills and then test your knowledge with a short quiz.

Quartiles & the Interquartile Range: Definition, Formulate & Examples

10. 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

11. 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.

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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