About This Chapter
MTTC Physical Science: Interpreting Data - Chapter Summary
In the field of science, data only has meaning if you determine what the data proves or disproves, and this chapter touches on the steps involved for data interpretation. As interpretation is a key component of scientific inquiry, the MTTC Physical Science exam will most likely include related questions that address the following:
- Accounting for errors in data evaluation
- Incorporating accuracy and precision
- Reading scientific data tables, charts, graphs, and data sets
- Presenting visual and text-based scientific data
- Transforming experimental results into reports
There are many steps and techniques involved in interpreting data, and this study guide has been constructed to help you recall the entire process. If you want an entertaining and informative way to study, try running a marathon study session and watch each of our video lessons one after the other. Even though the lessons are jam packed with useful information, each lesson is only around five minutes long, so watching the entire chapter may take less time than you think. If a watch-a-thon session doesn't fit your schedule, you can still brush up on the information by squeezing in a lesson or two whenever your schedule allows. To determine how much information you have retained, take our lesson quizzes or the chapter exam to see if you are almost ready for the MTTC Physical Science exam.
MTTC Physical Science: Interpreting Data Objectives
Secondary level educators in Michigan can become certified to teach courses in the sciences by taking the MTTC Physical Science exam. This three-area assessment uses a multiple-choice structure to ask 100 questions. The three areas on the exam include physics, chemistry, and scientific inquiry. This chapter on interpreting data will most likely prepare you for the scientific inquiry section, which has about 20 questions. Some of the objectives for this particular section include understanding how to apply the scientific techniques and use the necessary tools to collect the data, facts, and figures that then must be interpreted.
1. 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.
2. 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.
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. 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. Understanding Textual & Non-Textual Scientific Presentations
In order to understand science, you have to know science. This knowledge includes understanding the various ways that scientific information may be presented as well as how to critically analyze that information.
6. Visual Representations of a Data Set: Shape, Symmetry & Skewness
Visual representations are a fantastic way of understanding and analyzing your data. Use this lesson to understand the characteristics of visual representations of data.
7. 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.
8. 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.
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Other chapters within the MTTC Physical Science (097): Practice & Study Guide course
- MTTC Physical Science: Scientific Inquiry
- MTTC Physical Science: Conducting Research
- MTTC Physical Science: Laboratory Safety
- MTTC Physical Science: Society & Scientific Progress
- MTTC Physical Science: Interdisciplinary Science
- MTTC Physical Science: Chemical Properties of Matter
- MTTC Physical Science: Physical Properties of Matter
- MTTC Physical Science: Chemical Bonds
- MTTC Physical Science: Chemical Reactions
- MTTC Physical Science: Stoichiometry
- MTTC Physical Science: Analytical Techniques
- MTTC Physical Science: Forces & Motion
- MTTC Physical Science: Work, Power & Energy
- MTTC Physical Science: Conservation Laws & Thermodynamics
- MTTC Physical Science: Waves & Wave Motion
- MTTC Physical Science: Electromagnetism
- MTTC Physical Science: Electromagnetic Waves & Spectrum
- MTTC Physical Science: Modern Physics
- MTTC Physical Science Flashcards