About This Chapter
Scientific Experiments and Data Analysis - Chapter Summary
In part, the information presented in this chapter is designed to teach you about scientific figures, scientific notation, standard units of measurement, and dimensional analysis. It includes the definitions of relevant terms such as scatterplots, tables, line graphs, and conversion factors. Several examples allow you to explore the experimental design process, and to learn to utilize charts and graphs when solving problems. Use this chapter for assistance with:
- Exploring uses for a meniscus
- Understanding textual and non-textual presentations
- Interpreting scientific charts and graphs and solving practice problems
- Explaining the three types of measures of central tendencies
- Discussing scientific data analysis
- Defining the standard deviation
- Using statistical analysis
- Making estimations and predictions from categorical and quantitative data
- Using internal validity to draw conclusions
Watching each of these videos can expand your knowledge of various aspects of scientific experiments and data analysis. Between five and ten minutes long, the animated lessons can be studied at your own pace. Experienced instructors deliver the lessons, and they also answer your questions interactively. Skip from one subject to the next by using the video tags. These are accessed by clicking on the timeline feature, which reveals all of the videos' main topics. Text transcripts and self-assessment quizzes are included.
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.
2. Unit Conversion and Dimensional Analysis
How is solving a chemistry problem like playing dominoes? Watch this lesson to find out how you can use your domino skills to solve almost any chemistry problem.
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. 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.
5. 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.
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. 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.
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.
9. 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.
10. 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.
11. Statistical Analysis: Using Data to Find Trends and Examine Relationships
Many different organizations use statistical analysis to describe and analyze data and to predict future trends. Learn about the different types of statistics in this video lesson.
12. The Relationship Between Variables: Correlation Coefficient & Scatterplots
The focus of this lesson is on how both correlation coefficients and scatterplots convey the same message. Specifically, this lesson will explore how these two can reveal the same information but in different ways.
13. Make Estimates and Predictions from Categorical Data
Categorical data can be estimated but not predicted. Learn why in this video lesson along with how to read and gather information from a bar graph of categorical data.
14. Making Estimates and Predictions using Quantitative Data
Watch this video lesson to learn how you can read a scatter plot to learn more about a particular situation. Also learn how you can make estimates within the range of data you have and predict what may happen outside the range of data.
15. Drawing Conclusions Based on Internal Validity
When a researcher gets the results of their study back, how do they know that the independent variable caused the results? In this lesson, we'll look at how internal validity shapes the way researchers draw conclusions about their research.
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