data
It is true that scientific models are based on a set of observations, along with a logical analysis of those observations.
that research and observations support the theorythat research and observations support the theory is the correct answer
The reasoning that uses specific observations to make generalizations is called inductive reasoning. This approach involves drawing broader conclusions based on a set of specific instances or evidence. For example, observing that the sun has risen in the east every day leads to the generalization that the sun always rises in the east. Inductive reasoning is often used in scientific research to formulate hypotheses and theories based on collected data.
Questionnaires Interviews Surveys Observations and testing
Scientists get information from research, observations, experiments, and other scientists.
A general explanation of a set of observations or facts is typically referred to as a theory or a hypothesis. It is a proposed explanation that can be tested and further refined through scientific methods and research.
It's descriptive research
Primary and SecondaryPrimary Research: Interviews, Observations, ect.Secondary Research: Articles, Books, ect.One type of research is called quantitative research. This type of research involves numbers. Another type of research is called qualitative research. This type of research involves things like surveys and observations.
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The general term is - research.
A normal data set is a set of observations from a Gaussian distribution, which is also called the Normal distribution.
A scientific explanation for a set of observations that can be tested in ways that support it or reject it is called a hypothesis. A hypothesis is a proposed explanation for a phenomenon that can be tested through experiments or observations to determine its validity.
Scientific Method
A theory is a set of ideas or principles that explain a set of related observations through logical reasoning and empirical evidence. Theories help to organize information, predict outcomes, and guide further research in a particular field of study.
It is true that scientific models are based on a set of observations, along with a logical analysis of those observations.
Usually, when observations and measurements are aggregated, these are called DATA.
The "mean" is the "average". In statistics, it is the commonly used terminology. The mean value of a set of numeric observations is the sum of that set of observations divided by the number of observations.