Ch 7: Interpretation of Data

About This Chapter

Get a quick refresher on how to interpret data in an academic setting with the lessons in this chapter. These lessons provide an efficient way to review your knowledge of sources, data and tables before an important exam.

Interpretation of Data - Chapter Summary

Properly using and citing data is a skill anyone with a career in an academic setting will find useful. Use these lessons to review what you need to know about choosing sources and properly organizing data. You will learn how to correctly use different types of data and focus on methods of presenting information. Reading and interpreting data presented in tabular or graphical format will also be covered. When you have completed this chapter, you will be able to do things like:

  • Explain the difference between primary and secondary sources
  • Differentiate between qualitative and quantitative data
  • Reason your way through complex data tables and multi-step problems
  • Interpret scientific data presented in the form of a graph
  • Identify how data mapping can be most effectively used in a paper or finding

Every lesson in this chapter was created with accuracy, convenience and ease-of-use in mind. Video lessons, with included transcripts, help you quickly review the material. Self-assessment quizzes provide you with a resource to find out how much you remember from the lesson or from previous studies. All of these lessons can be accessed from a variety of devices. The Dashboard in your account makes it easy to pick up right where you left off.

6 Lessons in Chapter 7: Interpretation of Data
Test your knowledge with a 30-question chapter practice test
What is a Primary Source? - Definition & Examples

1. What is a Primary Source? - Definition & Examples

Let's explore primary sources. In this lesson, learn about first hand materials as primary sources. And then, begin to analyze and determine if a document, information, or object is a primary source.

Secondary Source: Definition & Examples

2. Secondary Source: Definition & Examples

What are secondary sources? Read this lesson to learn about these materials. You'll also find out how to determine whether or not a source is secondary.

Qualitative vs. Quantitative Data in Various Research Methods

3. Qualitative vs. Quantitative Data in Various Research Methods

Qualitative data and quantitative data are both useful in research, but it is important to understand the differences between the two. Learn how to differentiate the two types of data in this lesson.

Interpreting Tables of Scientific Data: Practice Problems

4. Interpreting Tables of Scientific Data: Practice Problems

Complex table problems getting you down? Multi-question, situational problems don't have to be a drag on your testing performance. Learn how to apply three simple rules as we walk through two table problems together.

Interpreting Graphs and Charts of Scientific Data: Practice Problems

5. Interpreting Graphs and Charts of Scientific Data: Practice Problems

Do charts and graphs make problem-solving difficult? Complex problems with visual representations can drain your brain during a test. In this lesson, learn three simple rules for solving problems with charts and graphs. We'll try them out as we walk through two sample problems.

Data Mapping: Tools & Best Practices

6. Data Mapping: Tools & Best Practices

This lesson will provide a basic understanding of what is involved in data mapping and why it is needed. It will also assist the student in understanding how data mapping can resolve issues that arise in data re-use situations.

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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