About This Chapter
Processes of Scientific Data Collection and Manipulation - Chapter Summary
The lessons in this chapter go over the fundamentals of scientific data collection and manipulation processes. Instructors introduce you to scientific notation and data analysis as well as offer you the opportunity to practice interpreting graphs and tables of scientific data. The lessons in this chapter cover the following topics:
- Converting data to the metric system
- Defining scientific notation and significant figures
- Differentiating between linear and logarithmic scales
- Interpreting tables, graphs and charts of scientific data
- Discussing the basics of scientific data analysis
- Measures of central tendency
These fun and effective videos are designed to help you quickly grasp the lesson materials. You can re-watch the videos as often as you'd like. Click on links provided in the video to take you to text lessons with additional details about key terms. After you've completed the lessons, take the chapter exam to be sure you mastered the information presented by our instructors.
1. 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.
2. Scientific Notation: Definition and Examples
Scientific notation is a special way of writing numbers so they are easier to work with. This lesson will define scientific notations and show some examples of how to convert numbers from standard notation to scientific notation and back.
3. 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.
4. Linear Vs. Logarithmic Scales
This lesson defines and compares linear and logarithmic scales. We'll see how some examples and see how they are used in the real world to measure everyday objects or even earthquakes!
5. 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.
6. 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.
7. Scientific Data Analysis
Science involves collecting data. But what do you do once is collected? Learn about how to analyze data, including the difference between accuracy and precision.
8. Mean, Median & Mode: Measures of Central Tendency
By describing the data using central tendency, a researcher and reader can understand what the typical score looks like. In this lesson, we will explore in more detail these measures of central tendency and how they relate to samples and populations.
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