Glossary entry (derived from question below)
Spanish term or phrase:
Medidas de Tendencia no Central
English translation:
measures of non-central tendency
- The asker opted for community grading. The question was closed on 2010-12-19 09:54:09 based on peer agreement (or, if there were too few peer comments, asker preference.)
Dec 16, 2010 04:14
13 yrs ago
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Spanish term
Medidas de Tendencia no Central
Spanish to English
Tech/Engineering
Computers: Software
I know it concerns deciles, quartiles and percentiles but I haven't found the appropriate term for it. I found measures of central tendency (Medidas de Tendencia Central) but nothing for this.
Proposed translations
(English)
4 +1 | measures of non-central tendency | Claudia Reynaud |
Proposed translations
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Selected
measures of non-central tendency
Measures of non-central tendency. 1. First quartile (Q1) or 25th percentile: Its position is n+1. 4 . 2. Third quartile (Q3) or 75th percentile: Its ...
www.stat.ucla.edu/~nchristo/statistics12/stat12_descriptive...
Measures of Non-Central Tendency. Particularly when dealing with large data sets, quantiles can be used to describe the location of key data points in an ordered array. The more commonly used quantiles are: quartiles, deciles, and percentiles. Visualize a large data set organized as an ordered array (from smallest to largest values). Quartiles would break down the ordered array into four equal quarters, deciles into ten equal parts, and percentiles into a hundred equal parts, identifying a corresponding data point value. For example, the thirteenth percentile would be a value depicting that thirteen percent of the data points in the ordered array would have smaller values.
http://mgmt.calumet.purdue.edu/furdek/m225/tutor/Notes/descr...
www.stat.ucla.edu/~nchristo/statistics12/stat12_descriptive...
Measures of Non-Central Tendency. Particularly when dealing with large data sets, quantiles can be used to describe the location of key data points in an ordered array. The more commonly used quantiles are: quartiles, deciles, and percentiles. Visualize a large data set organized as an ordered array (from smallest to largest values). Quartiles would break down the ordered array into four equal quarters, deciles into ten equal parts, and percentiles into a hundred equal parts, identifying a corresponding data point value. For example, the thirteenth percentile would be a value depicting that thirteen percent of the data points in the ordered array would have smaller values.
http://mgmt.calumet.purdue.edu/furdek/m225/tutor/Notes/descr...
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Comment: "This is what I had in mid but I couldn't find any Google entries for it and I didn't want to just write anything without making sure. This is great, thanks a bunch!"
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