Weighted Average

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Weighted Average

An average in which some values count for more than others. For example, if an index consisting of 10 stocks is weighted for price, this means that the average price of the stocks will move more when the stocks with higher price move. Most indices use weighted averages so that "smaller" values do not affect the index inordinately. This helps correct for the fact that averages tend to be affected by extreme values. One of the most common ways of weighting an average is to weight for market capitalization.
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The following definitions can give the relationships between the non-Newtonian weighted means and ordinary weighted means.
Furthermore the relationships between * -convexity and non-Newtonian weighted mean will be determined.
Confidence interval and the weighted mean of the effect size related to the sub-hypotheses seven to nine are presented in Table 10.
Finally, confidence interval and the weighted mean of the effect size related to the main hypothesis are presented in Table 12.
Comparing standard and weighted means reveals that the largest companies tend to have higher intangible assets.
Again, the solid lines are the weighted means and the dashed lines are the standard means.
81 TABLE 4 Predictive Validity Coefficients (r &R values) for Standard & Brief SAT Scores to Class Grades for Each Sample, Weighted Means (WM) Across Total Sample for r & R Indices, & t Tests Comparing Validity Coefficients of the Standard & Brief SAT SAMPLE B SAT & SAT & t DF P Grades Grades 1 .
The 890 students, taken as a group, scored highly on tests in class with a weighted mean over studies of 85% correct and moderately on the SAT with a weighted mean of 78%.
4 Weighted mean caused by shigellosis, % (95% confidence interval) 5.
Consistent with our expectation, the weighted mean (median) coefficient on TREND is positive and highly significant (0.
The weighted mean (median) coefficient for INITIAL_RC is insignificant at conventional levels.
To determine the most reasonable area within which to calculate the area weighted mean oft and i, RIDEM used an iterative approach.

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