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Ch 51: PLACE Mathematics: Summarizing Data

About This Chapter

Get ready to review methods for summarizing data correctly in preparation for your PLACE Mathematics exam. We provide expert instruction and self-assessment quizzes to help you understand the material you'll see on the test.

PLACE Mathematics: Summarizing Data - Chapter Summary

Use our self-paced video lessons and transcripts in this chapter to get ready for answering questions related to analyzing data sets and dividing data into groups. Let us help you master the statistical concepts you'll need to know for the exam, including:

  • Determining the center in a data set
  • Calculating mean, median and mode
  • Identifying visual representations of a data set like shape, symmetry and skewdness
  • Applying measures of dispersion and skewness
  • Using unimodal and bimodal distributions
  • Finding spread in data sets
  • Working with maximums, minimums, outliers and percentiles in a data set
  • Calculating quartiles and the interquartile range
  • Recognizing standard deviation and shifts in the mean
  • Determining the effect of linear transformations on measures of center and spread
  • Measuring population and sample variance

Get the practice you need answering similar questions by using our multiple-choice quizzes at the end of each lesson. Our subject-matter experts can answer any additional questions you may have to help you pass this test.

Objectives of the PLACE Mathematics: Summarizing Data Chapter

The PLACE Mathematics exam may include questions that analyze your capacity to solve problems about data sets. The topics in the Summarizing Data chapter fall under the Statistics and Probability portion of the exam, which constitutes 19% of the total math test. All of the questions are multiple-choice and require you to select one correct answer.

13 Lessons in Chapter 51: PLACE 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 PLACE Mathematics: Practice & Study Guide course

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