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Ch 22: HiSET Mathematics: Summarizing Data

About This Chapter

Let us help you prepare for the High School Equivalency Test (HiSET). This chapter's videos and quizzes show you all the necessary information on summarizing data that you'll have to know for the exam.

HiSET Mathematics: Summarizing Data- Chapter Summary

Make the most of this study guide by watching lesson videos that detail the different ways to group and analyze data sets. Our transcripts also highlight key terms that you'll see on the HiSET, including:

  • The center in a data set
  • Mean, mode, median and range
  • Shape, symmetry and skewdness
  • Dispersion and skewness
  • Unimodal and bimodal distributions
  • Spread, maximums, minimums and outliers in a data set
  • Quartiles and the interquartile range
  • Percentiles in a data set
  • Standard deviation
  • The relationship between linear transformations and measures of center and spread
  • Population and sample variance

Trained instructors present the video lessons in a humorous style. They use real-world examples so you can enjoy the process as you learn about and master this material.

Objectives of the HiSET Mathematics: Summarizing Data Chapter

Questions related to this Summarizing Data chapter are found in the Data Analysis/Probability Statistics portion of the HiSET. This portion makes up 18% of the entire math test; so of the 50 total questions, roughly nine will be on data analysis and probability statistics.

All of the questions are multiple-choice, so you can use our multiple-choice quizzes to gain confidence and experience with these types of questions.

12 Lessons in Chapter 22: HiSET Mathematics: Summarizing Data
Test your knowledge with a 30-question chapter practice test
What is the Center in a Data Set? - Definition & Options

1. What is the Center in a Data Set? - Definition & Options

Finding the center in a data set can sometimes be a little confusing. This lesson will help you determine the correct method for finding the center in a data set, and when you are finished, test your knowledge with a short quiz!

Mean, Median & Mode: Measures of Central Tendency

2. 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

3. 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.

Visual Representations of a Data Set: Shape, Symmetry & Skewness

4. Visual Representations of a Data Set: Shape, Symmetry & Skewness

Visual representations are a fantastic way of understanding and analyzing your data. Use this lesson to understand the characteristics of visual representations of data.

Measures of Dispersion and Skewness

5. Measures of Dispersion and Skewness

Watch this video lesson to learn how you can describe your data using two different statistical characteristics. Learn what it means for your graph to have variability and what it means for your graph to be skewed.

Unimodal & Bimodal Distributions: Definition & Examples

6. Unimodal & Bimodal Distributions: Definition & Examples

Sometimes a single mode does not accurately describe a data set. In this lesson, learn the differences between and the uses of unimodal and bimodal distribution. When you are finished, test your knowledge with a quiz!

Spread in Data Sets: Definition & Example

7. Spread in Data Sets: Definition & Example

Identifying the spread in data sets is a very important part of statistics. You can do this several ways, but the most common methods are through range, interquartile range, and variance.

Maximums, Minimums & Outliers in a Data Set

8. 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.

Quartiles & the Interquartile Range: Definition, Formulate & Examples

9. 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.

Finding Percentiles in a Data Set: Formula & Examples

10. Finding Percentiles in a Data Set: Formula & Examples

Percentiles are often used in academics to compare student scores. Finding percentiles in a data set can be a useful way to organize and compare numbers in a data set.

The Effect of Linear Transformations on Measures of Center & Spread

11. The Effect of Linear Transformations on Measures of Center & Spread

Linear transformations can be a great way to manipulate and analyze data. This lesson will show you how those transformations affect the center and spread of data.

Population & Sample Variance: Definition, Formula & Examples

12. Population & Sample Variance: Definition, Formula & Examples

Population and sample variance can help you describe and analyze data beyond the mean of the data set. In this lesson, learn the differences between population and sample variance.

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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