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Abstract ▼ AI-Helper

Food intake data from 228 persons (96 male adult ranging in age from 19 to 54, 27 female adult ranging in age from 20 to 46, 54 boys ranging in age from 9 to 11, and 51 girls ranging in age from 8 to II) were studied with respect to the shape of the underlying probablity distributions. For each menu...

Food intake data from 228 persons (96 male adult ranging in age from 19 to 54, 27 female adult ranging in age from 20 to 46, 54 boys ranging in age from 9 to 11, and 51 girls ranging in age from 8 to II) were studied with respect to the shape of the underlying probablity distributions. For each menu items distributional shapes of food intake were different. Most of distributions for food intakes from normaJ distributions. From food intake data of 2 meals nutrition intake data are calculated. For each meal, energy, protein, fat, carbohydrate, fiber, calcium, iron, vitamin A, thiamin, ribofavin, niacin and vitamin C were computed and thier distributions were compared with normal distributions. Distributions for adult female showed normal distributions for some food items. For nutrient intake data from male adults, distributions for vitamin C from 1st meal and calcium from 2nd meal were marginal and the remains were differed from normal distributions. For adult female and childern, distiributions for some nutients were differed from normal distributions. It is hard to find special patterns for each nutrient distributions. Therefore the normal distributions assumptions should be verified prior to applying parametric techniques to thier data. If those assumptions are not valid, non-parametric techniques should be used to analyze their data.

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