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Ch 50: OAE Mathematics: Summarizing Data

About This Chapter

Watch the engaging video lessons in this chapter to get refreshed on how to summarize data as you prepare to take your OAE Mathematics assessment. The lessons offer a review of data sets, percentiles, standard deviation and more with self-assessment quizzes to gauge your readiness to take the exam.

OAE Mathematics: Summarizing Data - Chapter Summary

The video lessons in this chapter on summarizing data can assist you in preparing to take the OAE Mathematics assessment. The videos will help you get organized for the test and give you insight into the types of questions you will need to answer, including:

  • Defining the center in a data set
  • Identifying and defining measures of central tendency
  • Calculating mean, median, mode and range
  • Understanding visual representations of data
  • Finding percentiles in a data set
  • Defining population and sample variance
  • Calculating standard deviation

Instructors in each of the lessons guide you through the materials to provide you with a complete overview of how to summarize data. This unique approach to instruction makes learning fun and easy, while ensuring you're prepared to face the questions you'll find on your exam.

OAE Mathematics: Summarizing Data Chapter Objectives

The OAE Mathematics assessment tests your understanding of mathematics concepts to make sure you have the knowledge and skills necessary to teach this subject area and secure teaching licensing in the state of Ohio. The subjects covered in the OAE Mathematics: Summarizing Data chapter are found in the statistics, probability and discrete mathematics portion of the exam, which constitutes about 19% of the assessment. You can use the self-assessment quizzes found in each lesson of this chapter to gauge how well you understand the materials. They can also prepare you for the questions you're likely to encounter on the exam.

The questions found on the assessment are all multiple choice, based on specific competencies, and come in the form of short statements, paragraphs or questions. Following each question will be four answers, one of which you'll be asked to choose as the best option.

13 Lessons in Chapter 50: OAE 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.

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.
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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 Ohio Assessments for Educators - Mathematics (027): Practice & Study Guide course

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