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outlier
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The answer OUTLIER has 21 possible clue(s) in existing crosswords.
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The word OUTLIER is VALID in some board games. Check OUTLIER in word games in Scrabble, Words With Friends, see scores, anagrams etc.
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Definitions of outlier in various dictionaries:
noun - a person who lives away from his place of work
noun - an extreme deviation from the mean
One whose domicile lies at an appreciable distance from one’s place of business.
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Keep reading for additional results and analysis below.
| Possible Jeopardy Clues |
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| An isolated body or an unusual piece of data |
| Possible Dictionary Clues |
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| a person or thing situated away or detached from the main body or system. |
| A person or thing situated away or detached from the main body or system. |
| an extreme deviation from the mean |
| a person who lives away from his place of work |
| One whose domicile lies at an appreciable distance from his or her place of business. |
| A value far from most others in a set of data: "Outliers make statistical analyses difficult ( Harvey Motulsky). |
| Geology A portion of stratified rock separated from a main formation by erosion. |
| a person, thing, or fact that is very different from other people, things, or facts, so that it cannot be used to draw general conclusions: |
| a place that is far from the main part of something: |
| a fact, figure, piece of data, etc. that is very different from all the others in a set and does not seem to fit the same pattern: |
| Outlier description |
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In statistics, an outlier is an observation point that is distant from other observations. An outlier may be due to variability in the measurement or it may indicate experimental error; the latter are sometimes excluded from the data set. An outlier can cause serious problems in statistical analyses. * Outliers can occur by chance in any distribution, but they often indicate either measurement error or that the population has a heavy-tailed distribution. In the former case one wishes to discard them or use statistics that are robust to outliers, while in the latter case they indicate that the distribution has high skewness and that one should be very cautious in using tools or intuitions that assume a normal distribution. A frequent cause of outliers is a mixture of two distributions, which may be two distinct sub-populations, or may indicate 'correct trial' versus 'measurement error'; this is modeled by a mixture model. * In most larger samplings of data, some data points will be further |