Ch 4: Collecting & Analyzing Scientific Data

About This Chapter

Using the lessons in this chapter to understand the different ways scientific data is collected and analyzed. In addition to the lessons, we will also provide you with self-assessment quizzes that will help gauge your level of comprehension on the chapter's material.

Collecting & Analyzing Scientific Data - Chapter Summary

These lessons will show you the different ways that you can collect and analyze scientific data. You'll learn about different formulas for converting between unites, various types of measurements used in the metric system, and how meaningful conclusions are obtained. As you move through the chapter, you'll also master the following concepts:

  • Standard set of units that are used for data measurements
  • Terms such as accuracy, reproducibility and precision
  • How experimental results are represented, organized and reported
  • Relationship between one variable to another
  • Arguments and predictions made through measures of central tendency
  • The ways errors are introduced into data
  • Types of experimental errors that are unavoidable

Our experienced instructors will guide you through the material and are available to answer your questions to make sure you are properly retaining the material. Every lesson is accompanied by a multiple-choice quiz so that you can get immediate results on your level of understanding. In addition, there is also a chapter exam that will test you on all of the concepts that you will find in this lesson.

10 Lessons in Chapter 4: Collecting & Analyzing Scientific Data
Test your knowledge with a 30-question chapter practice test
Understanding Laboratory Measurements: Units & Types

1. Understanding Laboratory Measurements: Units & Types

There are many different units that can be used for measurements. This may not only lead to incorrect data measurements, but also to confusion about which units are most appropriate. Therefore, a standard set of units is used for each type of measurement in the biology lab.

Common Unit Conversions

2. Common Unit Conversions

Watch this video lesson, and you will become a pro at converting between inches and feet, between feet and yards, and between quarts and gallons. Learn the special numbers involved in each conversion.

What is the Metric System?

3. What is the Metric System?

Most of the world relies on the metric system for measuring distance, weight, volume, and time. Watch this video lesson to learn what kinds of measurements are used in the metric system.

Evaluating Data from Scientific Investigation

4. Evaluating Data from Scientific Investigation

After watching this video, you will be able to explain the meaning of the terms 'accuracy' and 'reproducibility,' or precision, as they relate to science experiments. A short quiz will follow.

Organizing & Reporting Experimental Results

5. 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.

Describing the Relationship between Two Quantitative Variables

6. 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.

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.

Making Arguments & Predictions from Univariate Data

8. Making Arguments & Predictions from Univariate Data

Univariate data is used to describe a situation or experiment; however, you can also use the data to make arguments and predictions. This lesson will show you how to use measures of central tendency to make arguments and predictions.

Evaluating Data: Precision, Accuracy & Error

9. 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.

Identifying Sources of Unavoidable Experimental Error

10. Identifying Sources of Unavoidable Experimental Error

Good data are essential for any experiment. But no matter how hard you try, error in your data is unavoidable. In this lesson, you'll learn about the types of unavoidable experimental error to be on the lookout for and how to reduce their occurrence in your data.

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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