Ch 2: Working with Scientific Data

About This Chapter

Our chapter on working with scientific data provides a helpful and comprehensive resource to use when preparing for an important exam. Each lesson is written by an experienced instructor and features a short quiz to test your knowledge and identify any areas that need more study.

Working with Scientific Data - Chapter Summary

When you work through this chapter, you'll review lessons that thoroughly cover the steps for working with scientific data. Some of the topics include the appropriate tools for data collection and scientific tests, reporting and organizing experimental results and the visual representations used for a data set. You'll also study accuracy and precision in scientific measurements, scientific notation and significant figures, the metric system and statistical analysis. Once you complete this chapter, you should be able to:

  • Draw logical conclusions from experimental data
  • Define empirical data with examples
  • Explain why scientists use simulations and models
  • Understand earth systems using physical models
  • Discuss computer modeling in space and earth science
  • Detail the ways satellites are used to observe Earth
  • Provide a definition and history of cartography
  • Read geologic and topographic maps correctly

This chapter, and all of our learning materials, are accessible to you on any mobile phone, computer or tablet 24 hours a day. To ensure you're ready for a test or to move on to other subjects, take the short quiz with each lesson or the test at the end of the chapter. Any questions you have about these topics can be directed to an instructor through the Dashboard.

15 Lessons in Chapter 2: Working with Scientific Data
Test your knowledge with a 30-question chapter practice test
Using Appropriate Tools for Scientific Tests & Data Collection

1. 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 & Reporting Experimental Results

2. Organizing & Reporting Experimental Results

This lesson discusses how to present experimental results in a scientific paper, and includes writing style, why it is important to be selective in reporting data, and when to use text, tables, and figures.

Visual Representations of a Data Set: Shape, Symmetry & Skewness

3. 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.

Scientific Measurements: Accuracy, Precision & Percentage Error

4. Scientific Measurements: Accuracy, Precision & Percentage Error

Accuracy, precision, and percentage error all characterize scientific measurements and tell you something about how good the measurements are. In this lesson, learn what these terms mean and how to calculate percentage error.

Significant Figures and Scientific Notation

5. Significant Figures and Scientific Notation

Are 7.5 grams and 7.50 grams the same? How do scientists represent very large and very small quantities? Find out the answers to these questions in this video.

The Metric System: Units and Conversion

6. 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.

Types of Statistical Analysis

7. Types of Statistical Analysis

This lesson introduces the concept of statistical analysis and its uses. Then it explores the broad categories and various types of analysis that are used.

Drawing Logical Conclusions from Experimental Data

8. 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.

Empirical Data: Definition & Example

9. Empirical Data: Definition & Example

In this lesson, we will explore how empirical data is defined. You will also learn about different types of empirical data and the role empirical data plays in the scientific process.

Why Scientists Use Models & Simulations

10. Why Scientists Use Models & Simulations

What is a model? What is a simulation? And why do scientists use them? Learn how scientists analyze the past and predict the future. Then take a quiz to test your new knowledge.

Using Physical Models to Understand Earth Systems

11. Using Physical Models to Understand Earth Systems

In order to better understand Earth systems, changes in landforms, topographic maps, ice cores, and physical models are used. In this lesson, you will become familiar with examples on how these tools are used to study the Earth's climate.

Computer Modeling in Earth & Space Science

12. Computer Modeling in Earth & Space Science

What is a computer model? Learn how they are used in earth and space science to try to save lives and understand the past, then test your knowledge with a quiz.

How Satellites Are Used to Observe Earth

13. How Satellites Are Used to Observe Earth

After completing this lesson, you will be able to explain how satellites are used to observe the earth, including the ways that different parts of the electromagnetic spectrum are useful. A short quiz will follow.

What is Cartography? - Definition & History

14. What is Cartography? - Definition & History

It's hard to imagine how difficult our lives would be without maps. Even something as simple as locating a store in a shopping mall is made easier by referring to a map. In this lesson, we'll discuss cartography.

How to Read Topographic and Geologic Maps

15. How to Read Topographic and Geologic Maps

This lesson explains the main features of topographic maps, including contour lines, index contours and contour intervals. It will also cover two rules that all contours follow and discuss geologic maps and the information they contain.

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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