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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858 [degrees] E Number of 3,053 1,927 users Number of 4,257,430 1,998,935 observations Table 2: Comparison of weighted mean values between the case using Gyeonggi-do data from users having 1,000 or more observations and applying a linear regression analysis by data source (AWS or smartphone) and the case using Gyeonggi-do data from users having 1,000 or more observations and applying a linear regression analysis with the additional classification into daytime and nighttime.
In this section, the forms of weighted means are presented and an illustrative table is given.
207) Capabilities Performance Index of Marketing Weighted Mean of Tactical Capabilities the Effect Size Marketing Specialized 0.
The solid lines are the weighted mean while the dashed lines are the standard mean.
All the weighted mean effect sizes were negative and significantly different from 0.
The weighted means noted at the bottom of Table 4 indicate that, across studies, the prediction of collegiate academic achievement from a brief version of the SAT is comparable to that achieved by the standard SAT with r values of .
Conditions (i), (iv), and (v) of Theorem 1 are automatically satisfied for any weighted mean method.
Foot orthotics were shown to be more effective than no intervention over 6 months in a study of 138 participants, with a weighted mean improvement of 9 on the 100-mm visual analog scale.
However, each weighted mean effect size had a corresponding confidence interval that contained zero.
The best least-squares estimate for the parameter Y of the nonexistent laboratory-effects model (1) is the weighted mean [x.
The study's strengths included use of weighted mean differences of outcome measures, 2 independent reviewers, homogeneity testing, sensitivity analyses, and funnel plots.
13) Consistent with DHS and Gaver and Gaver (1998), the weighted mean (median) POS_INC coefficient of 1.

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