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Ch 35: NYSTCE Mathematics: Data Analysis & Statistics

About This Chapter

This chapter on Data Analysis and Statistics is designed to help you succeed on the related portions of the NYSTCE Mathematics exam, with video lessons taught by professional instructors hitting on all the relevant topics within the subject.

NYSTCE Mathematics: Data Analysis and Statistics - Chapter Summary

This chapter takes a look at the terms and operations involved in data analysis. Prepare for the NYSTCE Mathematics exam through lessons that provide an effective and efficient review of the following:

  • The center of a data set
  • Defining and calculating mean, median, mode and range
  • The mean vs. the median
  • Measures of dispersion and skewness
  • Spread in data sets
  • The effect of linear transformations on measures of center and spread

Using the dashboard feature, you'll be able to monitor your progress through the chapter and get a quick-view of all your studying activity in one place. While there, you can also find links to quizzes relevant to your studying as well as ask questions of our subject experts if ever you find yourself stuck.

7 Lessons in Chapter 35: NYSTCE Mathematics: Data Analysis & Statistics
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.

The Mean vs the Median: Differences & Uses

4. The Mean vs the Median: Differences & Uses

Most people can find the mean and the median of a data set, but do you know when to use the mean and when to use the median to describe the information?

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.

Spread in Data Sets: Definition & Example

6. 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.

The Effect of Linear Transformations on Measures of Center & Spread

7. 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.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
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Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
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Other Chapters

Other chapters within the NYSTCE Mathematics (004): Practice & Study Guide course

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