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tscore

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

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

There are 6 letters in TSCORE ( C3E1O1R1S1T1 )

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

Rearrange the letters in TSCORE and see some winning combinations

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

COASTER SCOTERS RECTORS RESTOCK ROCHETS ROCKETS ROTCHES SCOOTER SCOUTER PROSECT SECTORS STOCKER TOCHERS TORCHES TROCHES VECTORS COATERS RECOATS LECTORS COSTERS COLTERS ESCORTS EROTICS CROUTES COVERTS COUTERS COTTERS COSTRELHECTORS CORVETS CORSLET CORSETS CORNETS COPTERS COOTERS

6 letters out of TSCORE

CORSET COSTER ESCORT RECTOS SCOTER SECTOR

5 letters out of TSCORE

CEROS CORES CORSE COSET COTES CREST ESCOT RECTO ROSET ROTES SCORE STORE TORCS TORES TORSE

4 letters out of TSCORE

CERO CORE CORS COST COTE COTS EROS ERST ORCS ORES ORTS RECS REST RETS ROCS ROES ROSE ROTE ROTS SCOT SECT SORE SORT TOES TORC TORE TORS TRES

3 letters out of TSCORE

COR COS COT ERS OES ORC ORE ORS ORT OSE REC RES RET ROC ROE ROT SEC SER SET SOT TOE TOR

2 letters out of TSCORE

ER ES ET OE OR OS RE SO TO

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Definitions of tscore in various dictionaries:

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Tscore might refer to
In statistics, the Standard score is the signed number of standard deviations by which the value of an observation or data point is above the mean value of what is being observed or measured. Observed values above the mean have positive standard scores, while values below the mean have negative standard scores. The standard score is a dimensionless quantity obtained by subtracting the population mean from an individual raw score and then dividing the difference by the population standard deviation. This conversion process is called standardizing or normalizing (however, "normalizing" can refer to many types of ratios; see normalization for more).
* Standard scores are also called z-values, z-scores, normal scores, and standardized variables. They are most frequently used to compare an observation to a standard normal deviate, though they can be defined without assumptions of normality.
* Computing a z-score requires knowing the mean and standard deviation of the complete population to which a data point belongs; if one only has a sample of observations from the population, then the analogous computation with sample mean and sample standard deviation yields the t-statistic.
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