Averaging: meaning, definitions and examples
๐
averaging
[ หรฆvษrษชdสษชล ]
mathematical calculation
Averaging is the process of calculating the mean of a set of values. This statistical method is commonly used to summarize data by finding a single representative value. It is widely applicable in fields such as mathematics, statistics, and finance.
Synonyms
Examples of usage
- We are averaging the test scores to determine the class performance.
- The averaging method helps to smooth out variations in data.
- Averaging the temperatures over a week gives a clearer picture of climate trends.
statistical concept
Averaging refers to the statistical operation of finding the central value of a set of numbers. It involves the sum of all values divided by the number of values. This concept is crucial in data analysis and reporting.
Synonyms
arithmetic mean, average value, mean.
Examples of usage
- The averaging of monthly sales figures shows an increase.
- In finance, averaging down is a common investment strategy.
- The averaging technique is used in various scientific studies.
Translations
Translations of the word "averaging" in other languages:
๐ต๐น mรฉdia
๐ฎ๐ณ เคเคธเคค เคจเคฟเคเคพเคฒเคจเคพ
๐ฉ๐ช Durchschnittsbildung
๐ฎ๐ฉ rata-rata
๐บ๐ฆ ัะตัะตะดะฝั
๐ต๐ฑ ลrednia
๐ฏ๐ต ๅนณๅใใ
๐ซ๐ท moyenne
๐ช๐ธ promedio
๐น๐ท ortalama alma
๐ฐ๐ท ํ๊ท ๋ด๊ธฐ
๐ธ๐ฆ ุญุณุงุจ ุงูู ุชูุณุท
๐จ๐ฟ prลฏmฤrovรกnรญ
๐ธ๐ฐ priemerovanie
๐จ๐ณ ๅนณๅๅผ
๐ธ๐ฎ povpreฤje
๐ฎ๐ธ meรฐaltal
๐ฐ๐ฟ ะพััะฐัะฐ
๐ฌ๐ช แกแแจแฃแแแ
๐ฆ๐ฟ orta
๐ฒ๐ฝ promedio
Etymology
The term 'average' originated from the Old French word 'averer', which means 'to assess the value of goods' in the late 14th century. It has roots that trace back to Arabic and Latin, with similar meanings related to measuring and value estimation. Initially associated with maritime trade and shipping, where goods were assessed for average loss, it evolved to embody the notion of finding a central or typical value in various domains such as mathematics, economics, and social sciences. The modern use of 'averaging' as a verb has become prevalent in data analysis and statistics, a reflection of the digital age's reliance on numerical data assessments.