One would use scientific observations in order to make an inference, which is a logical deduction of what will occur based on what one has observed. For instance, if one observed a person putting food into an oven, one could infer that the food will be heated.
This comes from the scientific method. A hypothesis is a rational explanation for an observed phenomena. When multiple researchers confirm the observations in agreement with the hypothesis, the explanation of the set of observations can be referred to as a theory.
contrast
Scientific investigation is based on observations. Observations refer to any information we collect about the physical universe using our senses (sight, sound, smell, taste, and touch.) The factors or conditions being observed are called random variables (or experimental variables) because our observations of them can vary from one trial to the next. A random variable can be either discrete or continuous
Non-participatory observations are 1) non-transparent to whomever is being "observed", 2) inequitable regarding the presence of the observed in the observation act 3) exclusive, regarding direct participation in all aspects of observation including the outcomes of observation.
A pattern describes many observations but does not explain them. Patterns may be observed in data or phenomena, but the underlying cause or mechanism behind the pattern is not fully understood.
One would use scientific observations in order to make an inference, which is a logical deduction of what will occur based on what one has observed. For instance, if one observed a person putting food into an oven, one could infer that the food will be heated.
This comes from the scientific method. A hypothesis is a rational explanation for an observed phenomena. When multiple researchers confirm the observations in agreement with the hypothesis, the explanation of the set of observations can be referred to as a theory.
In chemistry, the scientific approach involves making observations, forming hypotheses to explain the observations, testing these hypotheses through experiments, and developing theories that can explain a set of related observations. A scientific law is a concise statement or equation that describes a fundamental relationship or pattern in nature that has been consistently observed through experiments. It represents a well-established fact that is widely accepted in the scientific community.
The relationship is, in order to become a scientific law, you have to have many observations by many different people. If you want to prove it is not a theory, you have to observe it.
Scientific theories and laws both aim to describe observed events in nature, but they do so in different ways. Theories are more comprehensive explanations that incorporate multiple observations and can evolve as new evidence arises. Laws, on the other hand, are more focused descriptions of specific relationships or patterns in nature that are observed consistently.
A testable prediction in the scientific method is called a hypothesis. This is a proposed explanation or educated guess about an observed phenomenon that can be tested through experiments or observations.
Quantitative observations are observations that can be precisely measured. Qualitative observations, meanwhile, are subjective observations that are based on the characteristics of what is being observed.
The generalization about predictable ways in which matter and energy behave is called a scientific law. Scientific laws describe observed phenomena and are based on repeated experimental observations.
The scientific word "law" often refers to a statement that describes a phenomenon observed in nature, usually formulated through repeated experiments and observations. Laws in science are concise and fundamental principles that are universally accepted within a particular scientific field.
Scientific Theory is tested by observations and experiments predicted by the theory. If the observations confirm the theory the theory is validated if not the theory is not validated. Experiments themselves need validation, often there are errors in the experiments or observations, e.g Michaelson and Morley Aether experiment and red shift observations.
Usually, when observations and measurements are aggregated, these are called DATA.