data
It is true that scientific models are based on a set of observations, along with a logical analysis of those observations.
Observations often lead to research questions by highlighting specific phenomena or patterns that prompt further inquiry. Inferences, which are conclusions drawn from observations, can also guide researchers in identifying gaps in knowledge or areas needing exploration. Together, they serve as the foundation for formulating research questions that drive scientific investigation. Thus, both observations and inferences play crucial roles in the development of research questions.
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.
A preliminary untested statement used to explain observations is called a hypothesis. It serves as a starting point for further investigation and experimentation, guiding researchers in their studies. A hypothesis is typically formulated based on existing knowledge and can be tested through empirical research.
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
A set of observations is typically called a "dataset." In scientific research, datasets are used to analyze trends, test hypotheses, and draw conclusions based on collected data. Datasets can vary in size and complexity, ranging from simple lists of measurements to large, multidimensional arrays of information.
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.
When observations deal with amounts or numbers, they are called quantitative observations. These observations involve measurable data that can be expressed numerically, allowing for statistical analysis and comparisons. Quantitative observations are essential in scientific research as they provide objective evidence that can be replicated and verified.
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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.