Search results
Results from the WOW.Com Content Network
Reproducibility, closely related to replicability and repeatability, is a major principle underpinning the scientific method.For the findings of a study to be reproducible means that results obtained by an experiment or an observational study or in a statistical analysis of a data set should be achieved again with a high degree of reliability when the study is replicated.
In engineering, science, and statistics, replication is the process of repeating a study or experiment under the same or similar conditions. It is a crucial step to test the original claim and confirm or reject the accuracy of results as well as for identifying and correcting the flaws in the original experiment. [1]
Experimental physics is the category of disciplines and sub-disciplines in the field of physics that are concerned with the observation of physical phenomena and experiments. Methods vary from discipline to discipline, from simple experiments and observations, such as Galileo's experiments , to more complicated ones, such as the Large Hadron ...
STEM has been a buzzword in educational circles for years, but more focus is being put on the curriculum to help address a job force that is having difficulty filling positions in those fields.
Repeatability or test–retest reliability [1] is the closeness of the agreement between the results of successive measurements of the same measure, when carried out under the same conditions of measurement.
The immutability of these fundamental constants is an important cornerstone of the laws of physics as currently known; the postulate of the time-independence of physical laws is tied to that of the conservation of energy (Noether's theorem), so that the discovery of any variation would imply the discovery of a previously unknown law of force. [3]
The number of "flips" is called the "N" in experimental design. If the N is too small, it doesn't matter how many times you repeat the experiments — none of the experiments are valid. You need a big enough N to get a result you can trust. Increasing N costs money and time. And repeating a high N experiment costs a LOT of money and time.
Pictet's experiment: Marc-Auguste Pictet: Demonstration Thermal radiation: 1797 Cavendish experiment: Henry Cavendish: Measurement Gravitational constant: 1799 Voltaic pile: Alessandro Volta: Demonstration First electric battery: 1803 Young's interference experiment: Thomas Young: Confirmation Wave theory of light: 1819 Arago spot experiment ...