# A best first search exact algorithm for the Multiple-choice by Sbihi A.

By Sbihi A.

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Additional info for A best first search exact algorithm for the Multiple-choice Multidimensional Knapsack Problem

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The results for the data from Table 2 are given in Table 6. AMOUNT OF INFORMATION CONTAINED IN p , J^, s, g^, AND g^ 25. , Xn, of some quality characteristic, how can we present concisely information by means of which the observed distribution can be closely approximated, that is, so that the percentage of the total number, n, of observations lying within any stated interval from, say, X-atoX = b, can be approximated? the quantities X, s^, gi and g2, as Table 6. 797 Oz/ft2 Breaking Strength, lb 27 PRESENTATION OF DATA The total information can be presented only by giving all of the observed values.

1925, pp. 364-387. [9] Hoel, P. , Wiley, New York, 1984. [10] Lewis, C. , Mind and Scribner, New York, 1929. the [11] Keynes, J. , A Treatise MacMillan, New York, 1921. World on Order, Probability, 4. Present as much evidence as possible that the data were obtained under controlled conditions. [12] Dodge, H. , "Statistical Control in Sampling Inspection," presented at a round table discussion on "Acquisition of Good Data," held at the 1932 Annual Meeting of the American Society for Testing and Materials; published in American Machinist, 26 Oct.

If we are interested in the percentages of the total number of observations that have values above (or below) several values on the scale of measurement, the essential information may be contained in a tabular grouped frequency distribution plus a statement of the number of observations n. But even here, if n is large and if the data represent controlled conditions, the essential information may be contained in the four sample functions—the average X, the standard deviation s, the skewness g^, the kurtosis g^, and the number of observations n.