Ch 51: AEPA Math: Summarizing Data

About This Chapter

Get ready for any question about the many ways of summarizing data with this chapter's effective lessons. Such questions will be included on the AEPA Math test which evaluates qualifications for teacher licensure or certification.

AEPA Math: Summarizing Data - Chapter Summary

Go over concepts such as dispersion and skewness by using this chapter's helpful graphs, text transcripts and fun video lessons. The chapter also goes over the process of finding the quartiles in a data set. The AEPA Math exam's other content dealing with how data is summarized is covered with these lessons:

  • The center in a data set
  • Calculating standard deviation and measuring dispersion
  • Population and sample variance
  • Calculating mean, median, mode and range
  • Maximums, minimums and outliers
  • Defining the interquartile range and finding percentiles
  • Unimodal and bimodal distributions
  • Spread in data sets
  • Shape, symmetry and skewness

Animated and narrated, these lessons can be studied one at a time or reviewed all in one sitting, depending on your schedule. Using the video tags will get you to different parts of the video lessons in no time, and you can take the quizzes to measure your retention.

Objectives of the AEPA Math: Summarizing Data Chapter

Test items on the AEPA Math exam will be asking about the ways in which data can be summarized, and the self-assessment quizzes throughout this chapter will show you very similar questions for practice. The AEPA Math exam includes 150 multiple-choice questions overall. Test takers are allowed 4 hours and 15 minutes to answer all of the test items. Examinees will be given a formula sheet to look at while taking the test, and there is also a scientific calculator that will show up on the screen for this computer-based exam.

13 Lessons in Chapter 51: AEPA 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

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Other Chapters

Other chapters within the AEPA Mathematics (NT304): Practice & Study Guide course

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