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Attributes are closely related to variables. A variable is a logical set of attributes. [1] Variables can "vary" – for example, be high or low. [1] How high, or how low, is determined by the value of the attribute (and in fact, an attribute could be just the word "low" or "high"). [1] (For example see: Binary option)
A science fair or engineering fair is an event hosted by a school that offers students the opportunity to experience the practices of science and engineering for themselves. In the United States, the Next Generation Science Standards makes experiencing the practices of science and engineering one of the three pillars of science education.
A science project is an educational activity for students involving experiments or construction of models in one of the science disciplines. Students may present their science project at a science fair, so they may also call it a science fair project. Science projects may be classified into four main types.
The adverse outcome (black) risk difference between the group exposed to the treatment (left) and the group unexposed to the treatment (right) is −0.25 (RD = −0.25, ARR = 0.25).
FAIR data is data which meets the FAIR principles of findability, accessibility, interoperability, and reusability (FAIR). [ 1 ] [ 2 ] The acronym and principles were defined in a March 2016 paper in the journal Scientific Data by a consortium of scientists and organizations.
Extreme event attribution, also known as attribution science, is a relatively new field of study in meteorology and climate science that tries to measure how ongoing climate change directly affects extreme events (rare events), for example extreme weather events.
The Google Science Fair was a worldwide (excluding Cuba, Iran, North Korea, Sudan, Myanmar/Burma, Syria, Zimbabwe and any other U.S. sanctioned country [1]) online science competition sponsored by Google, Lego, Virgin Galactic, National Geographic and Scientific American. [2] [3] [4] It was an annual event spanning the years 2011 through 2018.
A variable in an experiment which is held constant in order to assess the relationship between multiple variables [a], is a control variable. [2] [3] A control variable is an element that is not changed throughout an experiment because its unchanging state allows better understanding of the relationship between the other variables being tested.