what the difference between data and observation?
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Data collection requires observation, unless you define observations as things which include human supervision. ... Or, if you mean observation is a verb and data is a noun, then data is the result of observation. Or, if you think data must be numerical, the categorical information you collect will be “observations”.
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I usually think of it this way: While both information and data are types of knowledge, to me, information is knowledge in its very basic form, while data is a "special" type of information. In other words, data is usually gathered by observation, experimentation, record-keeping, or the like.
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A quantitative observation is objective while qualitative observation is subjective. Quantitative observation methods depend on fixed numerical parameters in order to categorize data samples while qualitative observation depends on subjective parameters for data gathering and data analysis.
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A fact is a statement that is verifiably true, while there is no way to completely verify this statement. An observation is a statement made based on something the viewer has seen or noticed, and that does not really apply here.
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explain the relationship between observation and hypothesis? observation is what you have gathered, after you look over it you my hypothesis of what you gathered. hypothesis is an explaination of the observation.
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1. The main difference between observational study and experiments is in the way the observation is done. 2.In an experiment, the researcher will undertake some experiment and not just make observations. In observational study, the researcher simply makes an observation and arrives at a conclusion.
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In a nutshell, observations are generally recorded in journal form, while results can be compiled into tables, charts or graphs. Knowing the difference between the two makes it much easier to analyze your data and come up with conclusion.
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The Difference Between Theory and Observation in Astronomy Observations are used to support theories, while theories are the connections between what observations tell us about astrophysical objects and what the physical understanding of an object is.
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"Quantitative" data deals, literally, with quantities—that is, things that can be measured. Conversely, "qualitative" data deals with qualities—that is, things that can be observed and described, but not directly measured. In sociology, quantitative data is often collected by amassing a large body of qualitative data.
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Data provides evidence, software provides a tool. Software exists to perform a task, while data does not. Software is fundamentally a logical construct, while data is fundamentally an empirical observation. Software can be used to express or explain processes and concepts, oftentimes with data as input.
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Observations: Observations are crucial for all early childhood settings and are used to build an understanding of a child's skills, interests, abilities and focuses on what they can do. Learning Story: It should focus on a child or a group of children, about the decisions they make and the consequences that follow.
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A thought requires more effort from the conscious mind, considering you are describing to yourself to make sense of whatever. An observation is a feeling or opinion of fact made from the subconscious mind. The observation travels/appears much faster because there is no contemplation it just is.
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is that observation is the act of observing, and the fact of being observed while hypothesis is (sciences) used loosely, a tentative conjecture explaining an observation, phenomenon or scientific problem that can be tested by further observation, investigation and/or experimentation as a scientific term of art, see the ...
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Qualitative observation is a research method that examines the characteristics of research variables while quantitative observation is a research design that quantifies variables in terms of statistical and numerical value.
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Data refers to a set of values, which are usually organized by variables (what is being measured) and observational units (members of the sample/population). ... Variables are of different types and can be classified in many ways, for example as numerical and categorical variables.
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Observational data is a valuable form of research that can give researchers information that goes beyond numbers and statistics. In general, observation is a systematic way to collect data by observing people in natural situations or settings.
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Observation is the gathering of information through the five senses. ... They are explanations for observations you make. Inferences are based on your experiences and what you know. An observation about this picture is that the grass is wet.