The key economic takeaways from Davos 2026 show resilience in the global economy after a turbulent year, even as experts warn that underlying pressures are starting to emerge.
In charts: 7 global shifts defining 2025 so far | World Economic Forum
This blog contains the full transcript of a special address by Mark Carney, Prime Minister of Canada, delivered at the World Economic Forum's Annual Meeting 2026 in Davos. Carney emphasized the end of the rules-based international order and outlined how Canada was adapting by building strategic autonomy while maintaining values like human rights and sovereignty. The Canadian PM called for ...
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The Annual Meeting 2026 of the World Economic Forum will take place at Davos-Klosters from 19th to 23rd January.
GDP has been used as a measure of economic growth since 1937. But the need for wellbeing metrics is bringing its relevance into question. Know what is GDP and why it matters.
GDP: What is it and why does it matter? - World Economic Forum
Frontier technologies such as AI are transforming jobs and skills. Here are the top trends to know at the World Economic Forum's Annual Meeting 2026.
Explore stories about sustainable economic growth from the World Economic Forum, featuring strategies for increasing prosperity, promoting inclusivity, and reducing global inequality.
The Iran war’s cascading economic fallout is radiating well beyond the Persian Gulf and the wider Middle East, reshaping markets and supply chains potentially for years to come.
The global price tag of war in the Middle East - The World Economic Forum
Variance is a measurement of the spread between numbers in a data set. Investors use the variance equation to evaluate a portfolio’s asset allocation.
EXPLAIN definition: to make plain or clear; render understandable or intelligible. See examples of explain used in a sentence.
EXPLAIN meaning: 1. to make something clear or easy to understand by describing or giving information about it: 2…. Learn more.
To explain is to make plain, clear, or intelligible something that is not known or understood: to explain a theory or a problem. To elucidate is to throw light on what before was dark and obscure, usually by illustration and commentary and sometimes by elaborate explanation: They asked him to elucidate his statement.
Explain, elucidate, expound, interpret imply making the meaning of something clear or understandable. To explain is to make plain, clear, or intelligible something that is not known or understood: to explain a theory or a problem.
Synonyms: explain, elucidate, explicate, interpret, construe These verbs mean to make the nature or meaning of something understandable. Explain is the most widely applicable: The professor used a diagram to explain the theory of continental drift. The manual explained how the new software worked.
explain (third-person singular simple present explains, present participle explaining, simple past and past participle explained) (transitive) To make plain, manifest, or intelligible; to clear of obscurity; to illustrate the meaning of.
explain, expound, explicate, elucidate, interpret mean to make something clear or understandable. explain implies a making plain or intelligible what is not immediately obvious or entirely known.
Explain is the most general of these words, and means to make plain, clear, and intelligible. Expound is used of elaborate, formal, or methodical explanation: as, to expound a text, the law, the philosophy of Aristotle.
to make clear in speech or writing; make plain or understandable by analysis or description. The instructor explained the operation of the engine to the students.
Never Explain wins the Tampa Bay Stakes on Saturday, at Tampa Bay Downs SV Photography Winning Connections with Never Explain with Flavien Prat wins the Dinner Party (G3T) at Pimlico, ...
CU Boulder News & Events: How to Update CU Experts Profile Data
The Smithsonian has introduced Smithsonian Profiles, a searchable directory of the Smithsonian’s scholarly experts. The Smithsonian’s dedication to research supports hundreds of staff scholars, and ...
The list of possible ways CU Experts could be used by the campus and those interested in research and faculty expertise at CU Boulder includes the following: As CU Experts is used, undoubtedly more ...
Founded in 2008 by former THINKFilm and ImaginAsian executive Dylan Marchetti, Variance Films was borne out of the idea that the then-current system for releasing independent films was broken. Since ...
Once framed predominantly as an environmental imperative, circularity is now an essential economic and industrial strategy that belongs in every boardroom.
In probability theory and statistics, variance is the expected value of the squared deviation from the mean of a random variable. The standard deviation is obtained as the square root of the variance. Variance is a measure of dispersion, meaning it is a measure of how far a set of numbers are spread out from their average value.
Variance measures how far data points are spread out from the mean. A higher variance indicates greater variability and risk, while a lower variance indicates more consistent results.
Variance is defined as the square of the standard deviation, i.e., taking the square of the standard deviation for any group of data gives us the variance of that data set.
Deviation means how far from the normal. The Standard Deviation is a measure of how spread out numbers are. Its symbol is σ (the greek letter sigma) The formula is easy: it is the square root of the Variance. So now you ask, "What's the Variance?" The Variance is defined as: The average of the squared differences from the Mean.
Variance is a measure of variability in statistics. It assesses the average squared difference between data values and the mean. Unlike some other statistical measures of variability, it incorporates all data points in its calculations by contrasting each value to the mean.
The variance is a measure of variability. It is calculated by taking the average of squared deviations from the mean. Variance tells you the degree of spread in your data set. The more spread the data, the larger the variance is in relation to the mean. Why does variance matter?