Ch 51: NES Math: Summarizing Data

About This Chapter

Let use aid in your review of the types of conclusions that can be drawn from various types of data as you study for the NES Math test. These videos, quizzes and other study aids offer good opportunities for you to prepare for test day.

NES Math: Summarizing Data - Chapter Summary

Use this chapter's lessons to refresh your understanding of ways to study and analyze data. The tools in our study guide can help you prepare for NES Math test questions on topics that include:

  • Definition of center in a data set
  • Range, median, mean and mode
  • Shape, skewness, symmetry and spread
  • Unimodal and bimodal distributions
  • Data sets: minimums, maximums and outliers
  • Formula for finding percentiles in a data set
  • Ways to calculate standard deviation
  • Linear transformations
  • The quartile and interquartile range
  • Formula for sample and population variance

You can watch these lessons and take the accompanying quizzes anytime whether on a computer, smartphone or tablet. Our instructors use lots of examples, animation and humor to make your review experience enjoyable, and we even include a text transcript of each lesson so you can read along. Track your progress on the Dashboard which even includes an ask-an-expert feature so you can communicate with the instructors.

NES Math: Summarizing Data Objectives

The states of Arizona, New Mexico, Oregon, Washington and Wisconsin require passing the NES Math test as a condition for obtaining certification to teach math in the secondary grades. The test is computer-delivered and consists entirely of multiple-choice questions, like our lesson quizzes and the chapter exam. These tests not only let you assess your learning, they allow you to experience answering questions in the format you'll encounter on the NES Math test.

The NES test questions are divided by subject into five content domains. Questions on summarizing data are in the Statistics, Probability and Discrete Mathematics content domain, which makes up 19% of the total exam.

13 Lessons in Chapter 51: NES Math: 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.

Calculating the Standard Deviation

11. 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.

The Effect of Linear Transformations on Measures of Center & Spread

12. 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

13. 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

Earning College Credit

Did you know… We have over 160 college courses that prepare you to earn credit by exam that is accepted by over 1,500 colleges and universities. You can test out of the first two years of college and save thousands off your degree. Anyone can earn credit-by-exam regardless of age or education level.

To learn more, visit our Earning Credit Page

Transferring credit to the school of your choice

Not sure what college you want to attend yet? Study.com has thousands of articles about every imaginable degree, area of study and career path that can help you find the school that's right for you.

Other Chapters

Other chapters within the NES Mathematics (304): Practice & Study Guide course

Support