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Ch 32: Analyzing and Interpreting Scientific Data

About This Chapter

The lessons of this chapter have been put together to help students, like you, improve your understanding of the natural uncertainty of scientific data, scientific measurements, uses of graphs and tables, importance of reliability and validity, logic and scientific presentations.

Analyzing and Interpreting Scientific Data - Chapter Summary

To improve your understanding of how scientific data is analyzed, this chapter has been composed of a series of lessons about scientific measurements, formats of scientific presentations, reliability, validity, and logical conclusion-making. When you've reviewed these lessons, you should possess a better understanding of:

  • The concept of errors in scientific measures and the nature of scientific uncertainty
  • Units and conversions of measurements of the metric system
  • Printed and electronic sources of data
  • The importance of assessing the accuracy, reliability and validity of sources
  • Uses of logic to draw meaningful and accurate conclusions from scientific data
  • Oral and written ways of presenting scientific data
  • How to construct and read graphs and charts
  • Three rules you can use to solve problems using graphs and charts

In addition to these lessons, this chapter includes transcripts and quizzes. Use the transcripts to reinforce your retention of the material presented in the lessons. Complete the quizzes to identify topics you don't understand. After completing the chapter, take the practice chapter exam to test your overall understanding of the things you'll need to keep in mind when analyzing and interpreting scientific data.

11 Lessons in Chapter 32: Analyzing and Interpreting Scientific Data
Test your knowledge with a 30-question chapter practice test
Measurements & Uncertainty in Science

1. Measurements & Uncertainty in Science

In this lesson, you will discover the importance of precision and accuracy in science while learning to make measurements. Also, you will understand how to perform calculations with measurements that conserve precision and limit uncertainty.

The Metric System: Units and Conversion

2. The Metric System: Units and Conversion

Just like you and your friend communicate using the same language, scientists all over the world need to use the same language when reporting the measurements they make. This language is called the metric system. In this lesson we will cover the metric units for length, mass, volume, density and temperature, and also discuss how to convert among them.

Unit Conversion and Dimensional Analysis

3. Unit Conversion and Dimensional Analysis

How is solving a chemistry problem like playing dominoes? Watch this lesson to find out how you can use your domino skills to solve almost any chemistry problem.

How to Read Scientific Graphs & Charts

4. How to Read Scientific Graphs & Charts

How do scientists summarize their findings with visual aids? In this lesson, explore the different types of tables, charts and graphs that scientists use. Learn to read these effectively as a preview to your science studies.

Print & Electronic Sources for Scientific Research

5. Print & Electronic Sources for Scientific Research

Sources provide you with helpful background information that support your own work. You can find sources both online and in printed materials. There are benefits and drawbacks to each, so you'll need to consider which is best for you and your project.

Scientific Sources: Accuracy, Reliability & Validity

6. Scientific Sources: Accuracy, Reliability & Validity

It's important to use other sources to support your work, but what's even more important is to use the right ones. Sources should be valid, reliable, and accurate, but it's not always easy to tell which ones meet these criteria.

Drawing Logical Conclusions from Experimental Data

7. Drawing Logical Conclusions from Experimental Data

Experimental results are what scientists like to share with each other, but it's important to understand what those data mean. We do this in the final step of the experimental process, when we draw meaningful conclusions from the results we obtained.

Presenting the Scientific Process Orally or in Writing

8. Presenting the Scientific Process Orally or in Writing

Part of being a good scientist involves sharing your work with others. Two of the most common ways this is done is through written works and oral presentations, both of which require a certain amount of care and skill.

How to Construct Graphs from Data

9. How to Construct Graphs from Data

This video describes how to create a line graph and explains the four main parts that graphs need to contain: 1. previously collected data, 2. picture representations, 3. use of the correct graph type, and 4. labels. This lesson also covers dependent and independent variables.

Interpreting Tables of Scientific Data: Practice Problems

10. 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

11. 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.

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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