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https://math.answers.com/math-and-arithmetic/Calculate_minimum_deviation

Calculate minimum deviation? - Answers

Minimum deviation refers to the smallest difference between a set of values and a reference point, often used in statistics or optimization problems. To calculate it, determine the absolute differences between each value in the dataset and the reference point, then identify the smallest of these differences. Mathematically, if ( x_1, x_2, \ldots, x_n ) are your values and ( r ) is the reference point, the minimum deviation is given by ( \min(|x_i - r|) ) for ( i = 1, 2, \ldots, n ).



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Calculate minimum deviation? - Answers

https://math.answers.com/math-and-arithmetic/Calculate_minimum_deviation

Minimum deviation refers to the smallest difference between a set of values and a reference point, often used in statistics or optimization problems. To calculate it, determine the absolute differences between each value in the dataset and the reference point, then identify the smallest of these differences. Mathematically, if ( x_1, x_2, \ldots, x_n ) are your values and ( r ) is the reference point, the minimum deviation is given by ( \min(|x_i - r|) ) for ( i = 1, 2, \ldots, n ).



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https://math.answers.com/math-and-arithmetic/Calculate_minimum_deviation

Calculate minimum deviation? - Answers

Minimum deviation refers to the smallest difference between a set of values and a reference point, often used in statistics or optimization problems. To calculate it, determine the absolute differences between each value in the dataset and the reference point, then identify the smallest of these differences. Mathematically, if ( x_1, x_2, \ldots, x_n ) are your values and ( r ) is the reference point, the minimum deviation is given by ( \min(|x_i - r|) ) for ( i = 1, 2, \ldots, n ).

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      Minimum deviation refers to the smallest difference between a set of values and a reference point, often used in statistics or optimization problems. To calculate it, determine the absolute differences between each value in the dataset and the reference point, then identify the smallest of these differences. Mathematically, if ( x_1, x_2, \ldots, x_n ) are your values and ( r ) is the reference point, the minimum deviation is given by ( \min(|x_i - r|) ) for ( i = 1, 2, \ldots, n ).
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