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Questions and Answers
What is a hypothesis in the context of scientific investigation?
What is a hypothesis in the context of scientific investigation?
Which type of data consists of numerical values such as height and weight?
Which type of data consists of numerical values such as height and weight?
What is the purpose of vetting the data in an investigation?
What is the purpose of vetting the data in an investigation?
In experimental design, what does the dependent variable refer to?
In experimental design, what does the dependent variable refer to?
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What is the primary goal of establishing a control group in an experiment?
What is the primary goal of establishing a control group in an experiment?
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Study Notes
Glossary
- Hypothesis: An educated guess to answer a question (what you think might be true).
- Data: Information gathered during an investigation.
- Quantitative data: Data expressed using numbers (e.g., minutes, height, weight).
- Qualitative data: Data described using words or phrases (e.g., passed, failed).
- Vetting the data: Checking if the data is relevant to the claim made in the investigation.
IDEA
- Identify the question.
- Determine the methods.
- Establish the results.
- Assess the conclusion.
Checking the Conclusion
- Unsupported claims: Does the conclusion rely on claims not supported by the results?
- Focus on all results: Does the conclusion focus on all results or just a few?
- Misinterpretation: Does the conclusion misinterpret the results?
- Minor detail focus: Does the conclusion focus on minor details while neglecting major details?
Elements of Experimental Design
- Variable: A factor that can change.
- Unexpected variable: A change introduced unexpectedly.
- Dependent variable: The factor expected to change.
- Experimental group: The group of interest.
- Control group: The group that remains unchanged, used for comparison.
Verifying Accuracy in Scientific Investigations
- Repeatable, reliable, and consistent: Investigations must be repeatable and consistent.
- Scientific consensus: Agreement among scientists on an answer.
- Systematic error: Errors that affect the accuracy of measurement.
Accuracy and Precision
- Equipment issue: Problem with equipment causing consistent but wrong results.
- Random error: Errors affecting measurement precision..
- Inconsistent results: Inconsistent trials need more data to average out.
Designing and Modifying an Experiment
- Ask scientific question.
- Present hypothesis.
- Identify variables.
- Establish groups.
- Collect data.
- Compare groups.
- Draw conclusion.
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Description
Test your knowledge on the key concepts of experimental design, including hypothesis formation, data types, and critical evaluation of conclusions. This quiz covers essential terms and methods used in scientific investigations, helping you understand the foundations of effective research.