About This Chapter
Processing Experimental Results - Chapter Summary
Use this chapter as you brush up on processing experimental results. Whether you need a quick review, or if you need to learn all the important info about this topic, our extensive chapter has you covered. The instructors will teach you about such concepts as mathematical relationships, visual summaries of findings, diagram interpretation, and computer models.
To gain a deeper understanding of processing experimental results, our instructors use real-life examples, which can help you get a better grasp on how scientists utilize and interpret data. By the time you complete this chapter, you will have gained enough knowledge to do the following:
- Explain how scientific investigations are used to process quantitative data
- Describe techniques for reading scientific charts and graphs
- Point out methods for drawing diagrams of scientific concepts and processes
- Identify examples of scientific models
- Define requirements of external validity
- Differentiate the terms error, accuracy, and precision
- Establish how to use evidence to modify scientific investigations
- Determine ways that experimental data can help you draw logical conclusions
- Offer examples of how to support a conclusion with given evidence
- Show the implications of scientific research proposals and findings
After you review the lesson materials, challenge yourself by answering the self-assessment quizzes included with each lesson. Answering the questions will allow you to evaluate how well you understand the major lesson topics, which can help you verify how prepared you may be for an upcoming exam.
1. Processing Quantitative Data from Scientific Investigations
Processing quantitative data from scientific investigations involves using math to understand a scientific concept. In this lesson, we use an Earth science example to explore how data is processed and analyzed to gain scientific understanding.
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. How to Draw Appropriate Diagrams of Scientific Processes and Concepts
Very often a scientific concept or process may be difficult to completely follow until we see a diagram. Sometimes however, making sense of them only becomes harder after seeing one! In this lesson, we'll learn to make diagrams that are more useful.
4. 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.
5. Requirements of External Validity: Internal Validity & Replication
In order to generalize results from studies to the real world, there are a couple of things that are required. In this lesson, we look at the requirements for external validity: replication and internal validity.
6. 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.
7. Modifying Scientific Investigations Based on Evidence
In this lesson, we'll learn about how the evidence from your scientific investigation supports or refutes your hypothesis. We'll also go into how to use your data to revise your hypothesis and refine your experiment.
8. 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.
9. 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.
10. Implications of Scientific Research Findings & Proposals
Once a scientist finishes a research project, what happens to that research? How do pieces of research work together to add to overall scientific knowledge? How does a scientist decide what their research really means?
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Other chapters within the VCE Biology: Exam Prep & Study Guide course
- Developing a Scientific Investigation
- Ethical Considerations in Scientific Investigations
- Collecting Scientific Data
- Communicating Scientific Ideas
- Cell Size, Structure & Function
- The Cell Membrane
- Stages of the Cell Cycle
- Cell Growth & Differentiation
- Energy Transformations in Living Things
- Functioning Systems of Living Things
- Adaptation & Regulation in Living Things
- Understanding Biodiversity
- Ecosystem Relationships & Populations
- Asexual & Sexual Reproduction
- Genomes, Genes & Alleles
- Chromosomes & Chromosome Disorders
- Genotypes & Phenotypes
- Pedigrees & Genetic Inheritence
- Cellular Membranes & Structures
- Nucleic Acids & Proteins
- Gene Structure & Regulation
- Understanding Enzymes
- Photosynthesis Overview
- Cellular Respiration Overview
- Cellular Signals
- Antigens & Immune Response
- Immunity & the Immune System
- Genetics & Populations
- Biodiversity Over Time
- Relatedness Between Species
- Human Evolution
- DNA Manipulation
- Biological Knowledge & Society
- VCE Biology Flashcards