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testines

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

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

There are 8 letters in TESTINES ( E1I1N1S1T1 )

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

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

ANISETTES STERNITES EXISTENTS TRITENESS TETANISES TEOSINTES TENSITIES TEENSIEST TESTINESS SILENTEST PETTINESS NOISETTES JETTINESS INTERESTS INTENSEST INSETTERS SENTIENTS

7 letters out of TESTINES

SESTINE TENSEST

6 letters out of TESTINES

INSETS SEINES SENSEI SESTET SITTEN STEINS STENTS STINTS TENETS TENSES TENTIE TESTES TESTIS TSETSE

5 letters out of TESTINES

ESNES INSET NEIST NESTS NETTS NITES SEINE SEISE SENSE SENTE SENTI SETTS SINES SITES SNITS STEIN STENT STETS STIES STINT TEENS TENET TENSE TENTS TESTS TINES TINTS

4 letters out of TESTINES

ESES ESNE NESS NEST NETS NETT NITE NITS SEEN SEES SEIS SENE SENT SETS SETT SINE SINS SITE SITS SNIT STET TEEN TEES TENS TENT TEST TETS TIES TINE TINS TINT TITS

3 letters out of TESTINES

ENS ESS INS ITS NEE NET NIT SEE SEI SEN SET SIN SIS SIT TEE TEN TET TIE TIN TIS TIT

2 letters out of TESTINES

EN ES ET IN IS IT NE SI TI

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Definitions of testines in various dictionaries:

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Testines might refer to
A statistical hypothesis, sometimes called confirmatory data analysis, is a hypothesis that is testable on the basis of observing a process that is modeled via a set of random variables. A statistical hypothesis test is a method of statistical inference. Commonly, two statistical data sets are compared, or a data set obtained by sampling is compared against a synthetic data set from an idealized model. A hypothesis is proposed for the statistical relationship between the two data sets, and this is compared as an alternative to an idealized null hypothesis that proposes no relationship between two data sets. The comparison is deemed statistically significant if the relationship between the data sets would be an unlikely realization of the null hypothesis according to a threshold probability—the significance level. Hypothesis tests are used in determining what outcomes of a study would lead to a rejection of the null hypothesis for a pre-specified level of significance. The process of distinguishing between the null hypothesis and the alternative hypothesis is aided by identifying two conceptual types of errors, type 1 and type 2, and by specifying parametric limits on e.g. how much type 1 error will be permitted.
* An alternative framework for Statistical hypothesis testing is to specify a set of statistical models, one for each candidate hypothesis, and then use model selection techniques to choose the most appropriate model. The most common selection techniques are based on either Akaike information criterion or Bayes factor.
* Confirmatory data analysis can be contrasted with exploratory data analysis, which may not have pre-specified hypotheses.
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