sample median造句

Other, more precise and robust methods have been developed For example, the truncated mean of the middle 24 % of the sample order statistics produces an estimate for " x " 0 that is more efficient than using either the sample median or the full sample mean.
Unlike scoring on previous versions of the Stanford Binet test, SB5 IQ scoring is deviation scoring in which each standard deviation up or down from the norming sample median score is 15 points from the median score, IQ 100, just like the standard scoring on the Wechsler tests.
It can be shown that the truncated mean of the middle 24 % sample order statistics ( i . e ., truncate the sample by 38 % ) produces an estimate for the population location parameter that is more efficient than using either the sample median or the full sample mean.
Like all current IQ tests, the Wechsler tests report a " deviation IQ " as the standard score for the full-scale IQ, with the norming sample median raw score defined as IQ 100 and a score one standard deviation higher defined as IQ 115 ( and one deviation lower defined as IQ 85 ).
The very top hash represents the maximum value in the sample, the fatter part of each line represents the data between the 1st and 3rd quartile ( interquartile range I assume ? ), The bolder line within the fat box is the sample median, and the bottom hash represents the lowest value in the set.
It's difficult to find sample median in a sentence. 用sample median造句挺难的

The sample median may or may not be an order statistic, since there is a single middle value only when the number of observations is even, and there are two middle values, X _ { ( m ) } and X _ { ( m + 1 ) }, and the sample median is some function of the two ( usually the average ) and hence not an order statistic.
The sample median may or may not be an order statistic, since there is a single middle value only when the number of observations is even, and there are two middle values, X _ { ( m ) } and X _ { ( m + 1 ) }, and the sample median is some function of the two ( usually the average ) and hence not an order statistic.

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