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  2. Proportion (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Proportion_(mathematics)

    A proportion is a mathematical statement expressing equality of two ratios. [1] [2]: =: a and d are called extremes, b and c are called means. Proportion can be written as =, where ratios are expressed as fractions.

  3. Proportional reasoning - Wikipedia

    en.wikipedia.org/wiki/Proportional_reasoning

    In mathematics and in physics, proportionality is a mathematical relation between two quantities; it can be expressed as an equality of two ratios: = Functionally, proportionality can be a relationship between variables in a mathematical equation.

  4. Unitary method - Wikipedia

    en.wikipedia.org/wiki/Unitary_method

    In elementary algebra, the unitary method is a problem-solving technique taught to students as a method for solving word problems involving proportionality and units of measurement. It consists of first finding the value or proportional amount of a single unit, from the information given in the problem, and then multiplying the result by the ...

  5. Proportionality (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Proportionality_(mathematics)

    This meaning of variable is not the common meaning of the term in mathematics (see variable (mathematics)); these two different concepts share the same name for historical reasons. Two functions f ( x ) {\displaystyle f(x)} and g ( x ) {\displaystyle g(x)} are proportional if their ratio f ( x ) g ( x ) {\textstyle {\frac {f(x)}{g(x)}}} is a ...

  6. Proportionality - Wikipedia

    en.wikipedia.org/wiki/Proportionality

    Proportionality (mathematics), the property of two variables being in a multiplicative relation to a constant; Ratio, of one quantity to another, especially of a part compared to a whole Fraction (mathematics) Aspect ratio or proportions; Proportional division, a kind of fair division; Percentage, a number or ratio expressed as a fraction of 100

  7. Bayes' theorem - Wikipedia

    en.wikipedia.org/wiki/Bayes'_theorem

    P(A) is the proportion of outcomes with property A (the prior) and P(B) is the proportion with property B. P(B | A) is the proportion of outcomes with property B out of outcomes with property A, and P(A | B) is the proportion of those with A out of those with B (the posterior). The role of Bayes' theorem can be shown with tree diagrams.

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