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This mistake is the so-called "false negative" statisticians talk about.
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One of the dependence structures that has attracted the interest of probabilists and statisticians is negative association.
(Although they then might be asked to bail out the government, which, the statisticians determined, has a negative net worth of $222 billion, after the national debt and other obligations have been deducted).
Statisticians cautioned there was potential for "negative equality impacts".
Along with the drive to prove one's theories right, "there is a wide perception that negative studies are useless, indeed a failure," says Douglas Altman, a statistician at the University of Oxford in the United Kingdom.
Making that data available to statisticians would almost certainly lead to new discoveries and clinically useful findings.However there could also be negative consequences.
Nate Silver, a baseball statistician who analyzed Pérez's statistics (specifically value over replacement player (VORP)), concluded that Pérez had a negative impact on the teams he played for.
Not exactly, say statisticians.
Sorry, say the statisticians.
Research by James Tatch, senior statistician at the CML, suggests that about 903,000 homeowners who took out their mortgages between early 2005 and the end of last year have some degree of negative equity.
Statisticians could argue that point.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com