Sentences with phrase «middle of the distribution»

It makes sense; if they used their time like CEOs in the broad middle of the distribution, they wouldn't get results way out on the right - hand tail.
This means talking not just about the most probable middle of the distribution, but also the lower probability high - end risk tail, because the outcome function is very high there.
There's a good reason we do so: The median wage actually shows the experience of workers in the middle of the distribution, whereas average wages are distorted by super-salaries paid at the very top of the income spectrum.
But median family income - the income of a family in the middle of the distribution, a better indicator of how typical American families are doing - grew only 10 percent.
Named for school finance analyst Eugene McLoone, it is «based on the assumption that if all the pupils in a state were lined up according to the amount their districts spend on them, perfect equity would be achieved if every district spent at least as much as was spent on the pupil smack in the middle of the distribution....
They are less able to distinguish among teachers in the middle of this distribution (the middle 60 — 80 percent), suggesting that merit - pay programs that reward or sanction teachers should be based on evaluations by principals and should be focused on the highest - and lowest - performing teachers.
Principals appear somewhat better at distinguishing between teachers in the middle of the distribution in math (they correctly placed 54 percent of teachers above the median, compared with the 26 percent expected if ratings were random), but they again appear to be better at identifying the best and worst teachers.
A teacher at the 84th percentile of effectiveness, for example, will raise the typical student from the middle of the distribution to the 58th percentile in a single year.
Data from the tracking schools allow us to estimate the effect of being taught with a higher - achieving vs. lower - achieving peer group by comparing students with baseline test scores in the middle of the distribution.
As illustrated in Figure 3, the benefits are concentrated in the middle of the distribution of family income.
These small swings are actually important, indicating large numbers of students moving near the middle of the distribution.
Georgia's accountability system appears to identify the tails of school performance distribution fairly accurately (A & F schools), however, the middle of the distribution (B, C, and D schools) appear to be the schools that would trend higher on other states» accountability models (especially Southeastern states).
[4] Notice that in Figure 1, one finds it difficult to distinguish among the vast majority of teachers in the middle of the distribution.
If we pick any two teachers nearer the middle of the distribution, we can see that, although their point estimates differ, their confidence intervals significantly overlap.
In contrast, if we pick any two teachers nearer the middle of the distribution, we can see that, although their point estimates differ, their confidence intervals significantly overlap.
Worst yet, the withdraw of the shares was in the middle of the distribution.
That is what I mean about the middle of the distribution being at 100 %.
In fact, the very first block («early window») and the very last block («late window») actually show almost no difference between the two, with Mann et al's real proxy data set firmly in the middle of the distribution of the «null» AR1 proxy performance spread.
More specifically, the objective of this paper is to explore and compare the extent of disparity at the bottom - end of the distribution of child well - being, focusing on the gap between the child in the middle of the distribution and those who are disadvantaged, i.e. those at the bottom of the distribution.
Edward N. Wolff, an economist at New York State University, points out that «median wealth [the wealth of the household in the middle of the distribution] was about 10 percent lower in 1995 than in 1983.»
The median rent more accurately depicts rental rates in the middle of the distribution of rents and is thus preferred in the analysis below.
As it is based only on lot sizes in the middle of the distribution, the median is less sensitive to these problems.
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