About This Chapter
Math Concepts & Scientific Data Analysis - Chapter Summary
Review this chapter's math concepts and scientific data analysis topics on any mobile device or computer. Subjects include scientific models and the reading of scientific charts and graphs. Once you complete this chapter, you should be ready to:
- Answer practice problems about the interpretation of scientific data from tables
- Solve problems about the interpretation of charts and graphs of scientific data
- Outline the measures of central tendency
- Calculate the standard deviation
- Discuss the probability of independent and dependent events
- Perform basic error analysis accurately
- Give examples of dimensional analysis
- Describe proportional reasoning and computational thinking in science
This interesting chapter contains lessons, quizzes and access to our expert instructors if you need help. You're welcome to work at your own pace and go back to reevaluate any of these topics as many times as needed. Testing yourself is quick and easy using our self-assessing lesson quizzes and chapter test.
1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. Calculating the Standard Deviation
In this lesson, we will examine the meaning and process of calculating the standard deviation of a data set. Standard deviation can help to determine if the data set is a normal distribution.
7. Probability of Independent and Dependent Events
Sometimes probabilities need to be calculated when more than one event occurs. These types of compound events are called independent and dependent events. Through this lesson, we will look at some real-world examples of how to calculate these probabilities.
8. How to Accurately Perform Basic Error Analysis
In this lesson, learn about the different types of error that can affect a measurement and how to correct for them. In addition, learn how to quantify the amount of error in a measurement, a process called error analysis.
9. What is Dimensional Analysis? - Definition & Examples
When we measure an object's size or amount, we encounter different units. Sometimes, we need to convert one unit to another, and this is where dimensional analysis comes in. In this lesson, we will learn about dimensional analysis and practice it.
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