Scientific Investigation

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

a systematic, creative investigation conducted to increase knowledge, analyze information, and solve problems through structured methods like experiments, surveys, and analysis

the active,, systematic process of monitoring, watching, or recording phenomena, behaviors, or data using the senses or scientific instruments.

the logical process of reaching a conclusion or judgment based on evidence, reasoning, and prior knowledge rather than explicit statements

a tentative, testable, and falsifiable explanation for a specific phenomenon, observation, or scientific problem, acting as the foundation for further investigation

a controlled procedure carried out to test a hypothesis, examine the validity of a theory, or determine the efficacy of something previously untried

the factor in an experiment or study that is directly manipulated, changed, or chosen by the researcher to observe its effect on a dependent variable

the measured, outcome factor in a study that changes in response to manipulations of the independent variable (IV)

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

the power to direct, manage, or regulate people, machines, or processes

a collection of facts, observations, or measurements—numerical (quantitative) or descriptive (qualitative)—that are processed to create information

acts as the final, essential component of an essay or research paper, summarizing arguments, reinforcing the thesis, and highlighting the broader significance of the findings

breaking down complex information, subjects, or substances into smaller parts to understand their essential features, causes, and relationships

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

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, data mesh/fabric architectures for scalabili

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Scientific invest.

term	deffinition
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 through structured methods like experiments, surveys, and analysis
Observation	the active,, systematic process of monitoring, watching, or recording phenomena, behaviors, or data using the senses or scientific instruments.
Inference	the logical process of reaching a conclusion or judgment based on evidence, reasoning, and prior knowledge rather than explicit statements
Hypothesis	a tentative, testable, and falsifiable explanation for a specific phenomenon, observation, or scientific problem, acting as the foundation for further investigation
Experiment	a controlled procedure carried out to test a hypothesis, examine the validity of a theory, or determine the efficacy of something previously untried
Independent Variable	the factor in an experiment or study that is directly manipulated, changed, or chosen by the researcher to observe its effect on a dependent variable
Dependent Variable	the measured, outcome factor in a study that changes in response to manipulations of the independent variable (IV)
Controlled Variable	factors kept intentionally unchanged throughout an experiment to ensure a fair test
Control	the power to direct, manage, or regulate people, machines, or processes
Data	a collection of facts, observations, or measurements—numerical (quantitative) or descriptive (qualitative)—that are processed to create information
Conclusion	acts as the final, essential component of an essay or research paper, summarizing arguments, reinforcing the thesis, and highlighting the broader significance of the findings
Analyze	breaking down complex information, subjects, or substances into smaller parts to understand their essential features, causes, and relationships
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, data mesh/fabric architectures for scalabili

Created by: user-2017063

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