Crossword Solver > found answer > SKETED

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Welcome to Anagrammer Crossword Genius! Keep reading below to see if sketed is an answer to any crossword puzzle or word game (Scrabble, Words With Friends etc). Scroll down to see all the info we have compiled on sketed.

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sketed

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The answer SKETED has 0 possible clue(s) in existing crosswords.

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The word SKETED is NOT valid in any word game. (Sorry, you cannot play SKETED in Scrabble, Words With Friends etc)

There are 6 letters in SKETED ( D2E1K5S1T1 )

To search all scrabble anagrams of SKETED, to go: SKETED?

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Scrabble results that can be created with an extra letter added to SKETED

STEEKED

5 letters out of SKETED

DEETS DEKES KEETS SKEED SKEET STEED STEEK TSKED

4 letters out of SKETED

DEES DEET DEKE DESK EKED EKES KEET SEED SEEK SKEE TEDS TEED TEES

3 letters out of SKETED

DEE EDS EEK EKE SEE SET TED TEE TSK

2 letters out of SKETED

DE ED ES ET

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Definitions of sketed in various dictionaries:

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Sketed might refer to
In probability theory and statistics, skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. The skewness value can be positive or negative, or undefined.
* For a unimodal distribution, negative skew commonly indicates that the tail is on the left side of the distribution, and positive skew indicates that the tail is on the right. In cases where one tail is long but the other tail is fat, skewness does not obey a simple rule. For example, a zero value means that the tails on both sides of the mean balance out overall; this is the case for a symmetric distribution, but can also be true for an asymmetric distribution where one tail is long and thin, and the other is short but fat.
* Some popular intuitions about skewness are not correct. As a 2005 journal article points out:* Many textbooks teach a rule of thumb stating that the mean is right of the median under right skew, and left of the median under left skew. This rule fails with surprising frequency. It can fail in multimodal distributions, or in distributions where one tail is long but the other is heavy. Most commonly, though, the rule fails in discrete distributions where the areas to the left and right of the median are not equal.
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