Scientific Investigation

a systematic process used to explore observations, answer questions, and test hypotheses about the natural world using the scientific method

a systematic, evidence-based inquiry designed to discover new information, interpret existing data, or solve problems, increasing the overall stock of knowledge

the active process of gathering information by using senses or scientific tools to notice and record data, behaviors, or events in natural or controlled settings

a conclusion reached on the basis of evidence and reasoning

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 that can be

a scientific procedure testing a hypothesis under controlled conditions to discover cause-and-effect, validate a theory, or determine the efficacy of something new, involving manipulation of variables and repeatable steps to gather evidence and draw logic

a variable (often denoted by x ) whose variation does not depend on that of another

a variable (often denoted by y ) whose value depends on that of another.

factors kept intentionally unchanged throughout an experiment to ensure a fair test

the power to influence or direct people's behavior or the course of events

facts and statistics collected together for reference or analysis.

the end or finish of an event or process.

examine methodically and in detail the constitution or structure of (something, especially information), typically for purposes of explanation and interpretation

systematic, often unintentional, errors in the design, data collection, analysis, or interpretation phases of research that lead to inaccurate, skewed, or non-objective results

significant patterns in data, currently dominated by AI/ML integration, real-time processing, edge computing, data democratization, and a focus on governance, privacy, and observability

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Sci. Investigation

Term	Definition
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, evidence-based inquiry designed to discover new information, interpret existing data, or solve problems, increasing the overall stock of knowledge
Observation	the active process of gathering information by using senses or scientific tools to notice and record data, behaviors, or events in natural or controlled settings
Inference	a conclusion reached on the basis of evidence and reasoning
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 that can be
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, involving manipulation of variables and repeatable steps to gather evidence and draw logic
Independent Variable	a variable (often denoted by x ) whose variation does not depend on that of another
Dependent Variable	a variable (often denoted by y ) whose value depends on that of another.
Controlled Variable	factors kept intentionally unchanged throughout an experiment to ensure a fair test
Control	the power to influence or direct people's behavior or the course of events
Data	facts and statistics collected together for reference or analysis.
Conclusion	the end or finish of an event or process.
Analyze	examine methodically and in detail the constitution or structure of (something, especially information), typically for purposes of explanation and interpretation
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	significant patterns in data, currently dominated by AI/ML integration, real-time processing, edge computing, data democratization, and a focus on governance, privacy, and observability

Created by: user-2020377

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