About This Chapter
Data Collection & Analysis in Science - Chapter Summary
These lessons cover concepts including why researchers choose certain data collection techniques and the importance of selecting the right tools ahead of time to save trouble. Of equal importance is choosing sources that are valid, reliable and accurate, and our lessons cover how to ensure sources meet these criteria.
You learn in further lessons how to organize and summarize data from multiple sources and then how to analyze it using two common methods. Additional study covers the methods used to explain phenomena and make predictions from data as well as draw logical conclusions. Once this chapter is done, you should be able to:
- Locate the online or printed sources that work best for your experiment
- Understand the relationship between the media and science
- Read tables, charts and graphs
- Identify patterns, relationships and trends in scientific data
- Make inferences from accurate data
- Evaluate whether a scientific conclusion supports the evidence
Our video lessons are short, professionally created and offer printable transcripts that highlight some of the most important topics. Text and video lessons are accompanied by multiple-choice quizzes that you can use to test your understanding or readiness for a test. Access these learning tools on any computer, tablet or mobile device for flexible studying you can do anywhere. If you need assistance from one of our instructors, feel free to contact one for more help.
1. Strategies for Choosing a Data Collection Technique
After figuring out what you are going to study, you, as the researcher, will need to figure out how to study it. This lesson discusses popular ways a researcher can collect data as well as why a researcher would chose a particular data collection technique.
2. 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.
3. Print & Electronic Sources for Scientific Research
Sources provide you with helpful background information that support your own work. You can find sources both online and in printed materials. There are benefits and drawbacks to each, so you'll need to consider which is best for you and your project.
4. Scientific Sources: Accuracy, Reliability & Validity
It's important to use other sources to support your work, but what's even more important is to use the right ones. Sources should be valid, reliable, and accurate, but it's not always easy to tell which ones meet these criteria.
5. Science in the Mass Media
Learn about the importance of the mass media to communicate scientific discoveries and the many issues with how that communication happens. See how well you understand by taking a quiz.
6. 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.
7. Summarizing & Collating Scientific Data from Multiple Sources
In this lesson we'll learn how to organize information from multiple scientific sources. We'll look at how to summarize data from both primary and secondary sources in a meaningful way.
8. Data Analysis: Techniques & Methods
In this lesson, we'll learn about data analysis. We'll define the two methods of data analysis, quantitative and qualitative, and look at each of their various techniques. The lesson will then conclude with a summary and a quiz.
9. Identifying Trends, Patterns & Relationships in Scientific Data
In this lesson, we'll explore the difference between trends, patterns and relationships in scientific data. By the end of the lesson, you'll be able to identify these properties of data and explain how they support or refute a hypothesis.
10. Developing & Evaluating Inferences From Data
In this lesson, we will look at what it means to make inferences and how to use data to inform those inferences. We will also look at how to determine if your data is a valid and reliable sources of information from which to develop accurate inferences.
11. Using Models to Explain Phenomena or Make Predictions
In this lesson, we'll learn how to apply models to explain phenomenon in science. We'll explain what models are, how they're used, and look at specific examples, including mathematical models.
12. 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.
13. Understanding Whether Given Evidence Supports a Conclusion
Part of being a good scientist is evaluating other scientists' work. One aspect of this is knowing whether the evidence provided supports the scientists' conclusions. While this is not always easy, it is necessary in order to produce good science.
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Other chapters within the HSC Biology: Exam Prep & Syllabus course
- Scientific Investigations Overview
- Scientific Validity
- Scientific Presentations
- Internal & External Environments
- Gas & Nutrient Transport in Animals & Plants
- Regulation in Animals & Plants
- Chromosomal Structure & Inheritance
- Mendel & Gene Expression
- Mechanisms of Genetic Change
- DNA Replication & Protein Synthesis
- Recombinant DNA Technology
- Biotechnology Basics
- Genetic Engineering & Reproductive Technologies
- Classification Hierarchy
- Health & Disease
- Immune Response
- Nervous System & Sensory Mechanisms
- Anatomy & Disorders of the Eye
- Sound & Hearing
- Evolutionary Change
- Time & Human Evolution
- History of Botany
- Photosynthesis Basics
- HSC Biology Flashcards