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Scientific Investiga

a systematic process used to explore observations, answer questions

QuestionAnswer
Scientific Investigation a systematic process used to explore observations, answer questions, and test hypotheses about the natural world using the scientific method
Research a systematic, creative investigation conducted to increase knowledge, analyze information, and solve problems
Observation the active, systematic process of noticing, monitoring, and recording phenomena or behaviors using the senses or scientific tools to gather data
Inference is the act or process of reaching a logical conclusion based on evidence, reasoning, and prior knowledge rather than through direct observation alone.
Hypothesis a proposed, testable explanation for an observation, acting as an educated guess that guides scientific research and experiments, forming a core part of the scientific method by making specific predictions about relationships between variables
Experiment a scientific procedure testing a hypothesis under controlled conditions to discover cause-and-effect, validate a theory, or determine the efficacy of something new
Independent Variable the factor that is changed or controlled to observe its effect on an outcome
Dependent Variable the factor you measure or observe to see how it responds to changes
Controlled Variable any factor in an scientific experiment that is intentionally kept unchanged to prevent it from influencing the dependent variable
Control a standard component of an experiment that remains untreated or unchanged to provide a baseline for comparing results and measuring the effect of independent variables
Data a collection of raw facts, figures, symbols, or observations
Conclusion s the final part of a process, event, or piece of writing that brings it to a close. Depending on the context, it serves as a summary, a judgment, or a logical result.
Analyze is to examine something methodically and in detail, typically in order to explain and interpret its nature, structure, or essential features.
Scientific Bias systematic, often unintentional, errors in the design, data collection, analysis, or interpretation phases of research that lead to inaccurate, skewed, or non-objective results
Data trends pervasive integration of Artificial Intelligence (AI) & Machine Learning (ML), driving autonomous systems and personalized experiences, alongside a strong push for real-time analytics, enhanced data governance
Created by: user-2020276
 

 



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