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Ch 3: CEOE Earth Science: Collecting, Analyzing & Presenting Data

About This Chapter

The lessons in this chapter will help you review for the CEOE Earth Science exam by examining methods for collecting and interpreting scientific data.

CEOE Earth Science: Collecting, Analyzing & Presenting Data - Chapter Summary

Before you take the CEOE Earth Science exam, let us help you review the various processes for collecting scientific data. Refresh your knowledge of techniques for interpreting and analyzing data. After this chapter you will have studied:

  • Proper tools for research and data collection
  • Techniques for sampling
  • Quantitative data
  • Categorical data
  • Performing statistical analysis with categorical data
  • Understanding correlation
  • Translating linear relationships using data
  • Determining direct and inverse variation
  • Comprehending data tables
  • Interpreting data charts and graphs
  • Evaluating data's accuracy
  • Arranging and presenting experimental results
  • Using data to create graphs

Each lesson has been developed to provide you with several methods for learning. You can watch a short video that will illustrate the material being covered. You can refer to the video's transcript as a resource for taking notes. Each lesson ends with a self-assessment quiz you can use to apply what you've learned and see how questions may appear on the exam.

14 Lessons in Chapter 3: CEOE Earth Science: Collecting, Analyzing & Presenting 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.

Sampling Techniques In Scientific Investigations

2. Sampling Techniques In Scientific Investigations

We can learn a lot by gathering information from a small subset of a larger group. By sampling this smaller group, scientists can save time and money while still gaining a good understanding of the population as a whole.

What is Quantitative Data? - Definition & Examples

3. What is Quantitative Data? - Definition & Examples

Watch this video lesson to find out the difference between saying you have seven apples and saying that those apples are delicious. You will learn about quantitative data and why it is useful.

What is Categorical Data? - Definition & Examples

4. What is Categorical Data? - Definition & Examples

Categorical data is one of two types of data that you can collect when conducting research. This lesson will teach you how to understand and use categorical data.

Statistical Analysis with Categorical Data

5. Statistical Analysis with Categorical Data

Learn why percentages are so important when analyzing categorical data in this video lesson. Watch as the data is turned into a data table and a visual bar graph as ways to analyze the data.

How to Interpret Correlations in Research Results

6. How to Interpret Correlations in Research Results

Perhaps the most common statistic you'll see from psychology is a correlation. Do you know how to correctly interpret correlations when you see them? This lesson covers everything you need to know.

Interpreting Linear Relationships Using Data: Practice Problems

7. Interpreting Linear Relationships Using Data: Practice Problems

Understanding linear relationships is an important part of understanding statistics. This lesson will help you review linear relationships and will go through three practice problems to help you retain your knowledge. When you are finished, test out your knowledge with a short quiz!

Solving Equations of Direct Variation

8. Solving Equations of Direct Variation

In the real world, we come across a lot of problems that vary directly with each other. You will learn how to solve these types of direct variation problems in this video lesson.

Solving Equations of Inverse Variation

9. Solving Equations of Inverse Variation

After watching this video lesson, you will be able to identify problems where you can use the formula for inverse variation to solve them. Learn what is involved and how easy they are to solve.

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.

Evaluating Data: Precision, Accuracy & Error

12. 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.

Organizing & Reporting Experimental Results

13. 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.

How to Construct Graphs from Data

14. 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.

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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