2012Open Journal of StatisticsOpen access

Study on the Normal and Skewed Distribution of Isometric Grouping

Zhensheng Jia, WenKai Jia

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Abstract

Because of thinking only the number of numbers but not fitting function, it would be adequate to take further afield when calculating group numbers with empirical formula. We have proved the three theorems based on studying the normal distribution, and then reach the conclusion that there is a better method to do the same work. The method is simpler and more practical than empirical method and also works well with any skewed distribution.

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Because of thinking only the number of numbers but not fitting function, it would be adequate to take further afield when calculating group numbers with empirical formula. We have proved the three theorems based on studying the normal distribution, and then reach the conclusion that there is a better method to do the same work. The method is simpler and more practical than empirical method and also works well with any skewed distribution.

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Available abstract

Because of thinking only the number of numbers but not fitting function, it would be adequate to take further afield when calculating group numbers with empirical formula. We have proved the three theorems based on studying the normal distribution, and then reach the conclusion that there is a better method to do the same work. The method is simpler and more practical than empirical method and also works well with any skewed distribution.

Key concepts: Mathematics, Normal distribution, Distribution (mathematics), Empirical distribution function, Isometric exercise, Statistics, Applied mathematics, Computer science

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