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  2. Off-by-one error - Wikipedia

    en.wikipedia.org/wiki/Off-by-one_error

    The correct number of sections for a fence is n − 1 if the fence is a free-standing line segment bounded by a post at each of its ends (e.g., a fence between two passageway gaps), n if the fence forms one complete, free-standing loop (e.g., enclosure accessible by surmounting, such as a boxing ring), or n + 1 if posts do not occur at the ends ...

  3. Value (ethics) - Wikipedia

    en.wikipedia.org/wiki/Value_(ethics)

    The difference between these two types of systems can be seen when people state that they hold one value system yet in practice deviate from it, thus holding a different value system. For example, a religion lists an absolute set of values while the practice of that religion may include exceptions.

  4. Pearson correlation coefficient - Wikipedia

    en.wikipedia.org/wiki/Pearson_correlation...

    Pearson's correlation coefficient is the covariance of the two variables divided by the product of their standard deviations. The form of the definition involves a "product moment", that is, the mean (the first moment about the origin) of the product of the mean-adjusted random variables; hence the modifier product-moment in the name.

  5. Mathematics - Wikipedia

    en.wikipedia.org/wiki/Mathematics

    For example, in mathematics, "or" means "one, the other or both", while, in common language, it is either ambiguous or means "one or the other but not both" (in mathematics, the latter is called "exclusive or"). Finally, many mathematical terms are common words that are used with a completely different meaning. [100]

  6. Number - Wikipedia

    en.wikipedia.org/wiki/Number

    Each digit to the right of the decimal point has a place value one-tenth of the place value of the digit to its left. For example, 123.456 represents ⁠ 123456 / 1000 ⁠ , or, in words, one hundred, two tens, three ones, four tenths, five hundredths, and six thousandths.

  7. Type I and type II errors - Wikipedia

    en.wikipedia.org/wiki/Type_I_and_type_II_errors

    In statistical hypothesis testing, a type I error, or a false positive, is the rejection of the null hypothesis when it is actually true. A type II error, or a false negative, is the failure to reject a null hypothesis that is actually false. [1] Type I error: an innocent person may be convicted. Type II error: a guilty person may be not convicted.

  8. Science - Wikipedia

    en.wikipedia.org/wiki/Science

    Science is a systematic discipline that builds and organises knowledge in the form of testable hypotheses and predictions about the universe. [1] [2] Modern science is typically divided into two or three major branches: [3] the natural sciences (e.g., physics, chemistry, and biology), which study the physical world; and the behavioural sciences (e.g., economics, psychology, and sociology ...

  9. World Wide Web - Wikipedia

    en.wikipedia.org/wiki/World_Wide_Web

    Web navigation, or web surfing, is the common practice of following such hyperlinks across multiple websites. Web applications are web pages that function as application software. The information in the Web is transferred across the Internet using HTTP. Multiple web resources with a common theme and usually a common domain name make up a ...