Welcome to Anagrammer Crossword Genius! Keep reading below to see if testings 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 testings.
testings
Searching in Crosswords ...
The answer TESTINGS has 2 possible clue(s) in existing crosswords.
Searching in Word Games ...
The word TESTINGS is VALID in some board games. Check TESTINGS in word games in Scrabble, Words With Friends, see scores, anagrams etc.
Searching in Dictionaries ...
Definitions of testings in various dictionaries:
noun - the act of subjecting to experimental test in order to determine how well something works
noun - an examination of the characteristics of something
noun - the act of giving students or candidates a test (as by questions) to determine what they know or have learned
Word Research / Anagrams and more ...
Keep reading for additional results and analysis below.
Possible Crossword Clues |
---|
Laboratory sessions |
Experimental efforts |
Last Seen in these Crosswords & Puzzles |
---|
Jul 18 2015 New York Times |
Jul 8 2010 New York Times |
Testings 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. |