Significantly | Definition of Significantly by Merriam-Webster
People who smoke have a significantly greater risk of developing lung cancer than people who don't.. Another store sold the game for a significantly lower price.. If you take my advice, your chances of winning will increase significantly.
Significantly Synonyms, Significantly Antonyms | Thesaurus.com
Synonyms for significantly at Thesaurus.com with free online thesaurus, antonyms, and definitions. Find descriptive alternatives for significantly.
Significantly - definition of significantly by The Free ...
sig·nif·i·cant (sĭg-nĭf′ĭ-kənt) adj. 1. a. Having or expressing a meaning: Are the markings on the stone significant? b. Having or expressing a covert or nonverbal ...
Significantly | Define Significantly at Dictionary.com
Contemporary Examples. The death toll, which experts believe has been significantly undercut by secret burials, stands at 7,905.
significantly Meaning in the Cambridge English Dictionary
significantly definition: 1. in a way that is easy to see or by a large amount: 2. in a way that suggests a special meaning: . Learn more.
significantly | Definition of significantly in English by ...
Definition of significantly - in a sufficiently great or important way as to be worthy of attention, in a way that has a particular meaning
Significantly - Definition for English-Language Learners ...
Definition of significantly written for English Language Learners from the Merriam-Webster Learner's Dictionary with audio pronunciations, usage examples, and count/noncount noun labels.
significantly - English-Spanish Dictionary - WordReference.com
significantly - Translation to Spanish, pronunciation, and forum discussions
significantly - Dictionary Definition : Vocabulary.com
Anything that happens significantly happens in a big way. A significantly happier person has gotten much happier. Moving into a significantly bigger house means you can finally get that indoor pony.
Statistical significance - Wikipedia
Statistical significance plays a pivotal role in statistical hypothesis testing. It is used to determine whether the null hypothesis should be rejected or retained. The null hypothesis is the default assumption that nothing happened or changed.