Ch 2: Scientific Inquiry Process

About This Chapter

Ensure you have the knowledge needed to pass a test covering the scientific inquiry process by exploring this chapter's entertaining lessons. Our mini-quizzes and practice exam can confirm your comprehension and readiness for exam day.

Scientific Inquiry Process - Chapter Summary

Top instructors have developed engaging lessons you can explore at your own pace to gain greater insight into the scientific inquiry process. Explore the lessons to gain a quality understanding of scientific investigation, hypotheses and scientific models. You'll also get a refresher on how to read scientific graphs and charts, avoid bias in scientific investigations and evaluate data. Once you've completed this chapter, you will be ready to:

  • Define experimental design in science
  • Detail how to use appropriate tools for data collection and scientific tests
  • List and discuss techniques for maintaining data integrity from scientific instruments
  • Explain how to process quantitative data from scientific investigations
  • Discuss how to draw logical conclusions from experimental data
  • Share ways to identify potential reasons for inconsistent experimental results
  • Describe threats to external validity
  • Exhibit knowledge of ethics in biomedical research with animals

All lessons in this chapter are available 24/7, making it easy to study during times that suit your schedule. Mobile access ensures you're able to study from any Internet-enabled location using your smartphone or tablet. As you progress through the lessons, be sure to take our multiple-choice quizzes to check your knowledge of key concepts. Our practice exam makes it easy to find out how well you comprehend the entire chapter.

14 Lessons in Chapter 2: Scientific Inquiry Process
Test your knowledge with a 30-question chapter practice test
What is Scientific Investigation? - Definition, Steps & Examples

1. What is Scientific Investigation? - Definition, Steps & Examples

Scientific investigation is the way in which scientists and researchers use a systematic approach to answer questions about the world around us. Read on to find out more. A quiz is provided to test your understanding.

What is a Hypothesis? - Definition & Explanation

2. What is a Hypothesis? - Definition & Explanation

A hypothesis is an educated prediction that can be tested. You will discover the purpose of a hypothesis then learn how one is developed and written. Examples are provided to aid your understanding, and there is a quiz to test your knowledge.

Experimental Design in Science: Definition & Method

3. Experimental Design in Science: Definition & Method

What are the requirements of a scientific experiment? How do scientists turn hypotheses into theories and laws? Learn the answers to these questions and more in this lesson on the design of scientific experiments.

Using Appropriate Tools for Scientific Tests & Data Collection

4. 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.

Techniques to Maintain Data Integrity from Scientific Instruments

5. Techniques to Maintain Data Integrity from Scientific Instruments

In order to be a good scientist, you have to make sure that your data is worthwhile. But how can you be sure of that? This lesson goes over many of the techniques you can use to be sure that your data is both accurate and precise.

Processing Quantitative Data from Scientific Investigations

6. Processing Quantitative Data from Scientific Investigations

Processing quantitative data from scientific investigations involves using math to understand a scientific concept. In this lesson, we use an Earth science example to explore how data is processed and analyzed to gain scientific understanding.

How to Read Scientific Graphs & Charts

7. 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.

Scientific Models: Definition & Examples

8. Scientific Models: Definition & Examples

What are scientific models and how are they used? Learn about the different types of scientific models, including visual, mathematical, and computer models, and discover some real-life examples of each.

Evaluating Data: Precision, Accuracy & Error

9. Evaluating Data: Precision, Accuracy & Error

The data you present as a scientist need 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.

Drawing Logical Conclusions from Experimental Data

10. 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.

Identifying Potential Reasons for Inconsistent Experiment Results

11. Identifying Potential Reasons for Inconsistent Experiment Results

Repeating an experiment helps ensure that you designed and implemented it correctly. But what if you don't get the same results each time? In this lesson, we'll explore potential reasons for this and how you might avoid it in the future.

Threats to External Validity: Sample Characteristics, Stimulus Characteristics & Experimental Arrangements

12. Threats to External Validity: Sample Characteristics, Stimulus Characteristics & Experimental Arrangements

The goal of research is to generalize the results, but there are several things that can get in the way. This lesson examines three threats to external validity: sample characteristics, stimulus characteristics, and multiple-treatment interference.

How to Avoid Bias in Scientific Investigations

13. How to Avoid Bias in Scientific Investigations

In this lesson, you will learn what it takes to conduct a proper scientific investigation while doing your best to avoid any possibility of bias. Learn where possible sources of bias can come from and what you can do about it.

Ethics in Biomedical Research with Animals

14. Ethics in Biomedical Research with Animals

Over the course of this lesson, you'll briefly learn about the history of animal use in research, some arguments for and against it, as well as how such research is regulated.

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.
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