Ch 29: Scientific Data: Organization, Analysis & Drawing Conclusions

About This Chapter

Strengthen you knowledge of ways to organize, analyze and draw conclusions about scientific data by exploring this chapter's fun lessons. If you're studying for a test, take our mini quizzes and chapter exam to test your comprehension and ability to excel.

Scientific Data: Organization, Analysis & Drawing Conclusions - Chapter Summary

This self-paced chapter provides a comprehensive overview of how to analyze, organize and draw conclusions about scientific data. By exploring our entertaining lessons, you can get reacquainted with ways to use and draw mapping diagrams, teach standard and nonstandard units of measurement and more. Upon completion of this chapter, you will be able to:

  • List and discuss how to use appropriate tools for scientific tests and data collection
  • Explain how to organize and understand data using tables and schedules
  • Outline the process of organizing data using graphs and charts
  • Detail how to identify and explain patterns in scientific data
  • Discuss how to describe the relationship between two quantitative variables
  • Exhibit knowledge of precision, accuracy and error when evaluating data
  • Describe how to analyze, apply and draw conclusions from research to make recommendations

Each lesson in this chapter is accompanied by a short quiz you can take anytime to check your comprehension of key concepts. If you develop questions while exploring the lessons, don't hesitate to submit them to our subject-matter experts. Our practice exam makes it easy to gauge your overall understanding of this chapter and assess your readiness to take your test. These study tools are accessible 24 hours a day, enabling you to study whenever your schedule permits!

9 Lessons in Chapter 29: Scientific Data: Organization, Analysis & Drawing Conclusions
Test your knowledge with a 30-question chapter practice test
Teaching Standard & Nonstandard Units of Measurement

1. Teaching Standard & Nonstandard Units of Measurement

In this lesson, we'll learn how measuring with nonstandard units can prepare students to understand conversions once they begin using standard units of measure.

Using Appropriate Tools for Scientific Tests & Data Collection

2. Using Appropriate Tools for Scientific Tests & Data Collection

A properly run experiment depends on using the right tools, both for data collection and analysis. In the end, it will save you time, money and frustration to spend some time planning out which tools are most appropriate for your work.

Organizing and Understanding Data with Tables & Schedules

3. Organizing and Understanding Data with Tables & Schedules

In math, when we have to deal with a lot of data, having a visual format to present all the data becomes very useful. Watch this video lesson to learn how you can take advantage of two of these visual formats.

How to Organize Data with Charts & Graphs

4. How to Organize Data with Charts & Graphs

Research is only valuable if you can share the data effectively. In this lesson, we'll learn how to organize data and construct various charts and graphs to represent research data.

How to Use and Draw Mapping Diagrams

5. How to Use and Draw Mapping Diagrams

When you're working with functions, mapping diagrams are a great way to see and track the ways your inputs are related to your outputs. In this lesson, we will learn how to use and draw a mapping diagram.

Identifying & Explaining Patterns in Scientific Data

6. Identifying & Explaining Patterns in Scientific Data

We need to know how to analyze the data that we get from scientific data. By analyzing the trends and patterns in data we can understand what the experiment results are.

Describing the Relationship between Two Quantitative Variables

7. Describing the Relationship between Two Quantitative Variables

In this video lesson, you will learn about quantitative variables, what they are, and how one variable relates to another. You will learn why this is important and why it can sometimes even save lives.

Evaluating Data: Precision, Accuracy & Error

8. Evaluating Data: Precision, Accuracy & Error

The data you present as a scientist needs to be as accurate, precise and error-free as possible. In this lesson, we'll discuss what each of these terms means, as well as how error is introduced into measurements and other data collection.

Analyzing, Applying, and Drawing Conclusions From Research to Make Recommendations

9. Analyzing, Applying, and Drawing Conclusions From Research to Make Recommendations

In this lesson, we'll explore how companies analyze, apply and draw conclusions from research to solve problems. Learn how effective recommendations can help a business survive and thrive.

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.
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