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Quant Chart first 20
This chart re-ranks the 135 schools in the Boston Magazine 2011 Best Schools issue according to my own streamlined Quantitative Score, which is the sum of all listed MCAS scores (dropping the single worst score and keeping the remaining 8), the 3 SAT parts (divided by 3 to weight them higher than the MCAS tests), and the graduation rate (multiplied by 2 to put it into the same weight-range as the SAT parts). Several other factors like per-pupil spending, students-per-teacher, AP classes, etc., which are listed in the magazine and presumably included in their score somehow, are not included in this one.

In the chart below you can see both the ranking and the components of the score. Note the little notch at Wellesley, where the 8th grade science curriculum doesn't match the MCAS coverage, and thus produces one anomalous MCAS score that my method discounts.
1-20 of 135 School nodes data series:   MCAS 5 English ·   MCAS 5 Math ·   MCAS 5 Science ·   MCAS 8 English ·   MCAS 8 Math ·   MCAS 8 Science ·   MCAS 10 English ·   MCAS 10 Math ·   MCAS 10 Science ·   SAT R ·   SAT W ·   SAT M ·   Grad Rate
Rank Comparison first 20
Here's a direct comparison between Boston Magazine's assigned "Rank" and my calculated "Quant Rank". "Quant ∆" is a measure of the difference between the two. Schools with significant differences are highlit in blue, or you can click the arrow next to "Quant ∆" to re-sort the entire table by this difference.
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School
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Rank
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Quant Rank
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Quant ∆
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Quant Score
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SAT Total
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SAT Dev
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MCAS Comp
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MCAS Dev
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Graduation Rate
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5
1
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15
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20
3
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3
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96
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1
5
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26
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2
7
8
7
8
9
11
9
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22
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4
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97
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11
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31
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39
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38
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9
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30
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No results with .
Here are my two simple single-factor quant-score predictions based on nothing but lunch-subsidy percentages. The blue line are actual quant scores, the green line is the result of a linear regression (qs = -7.8 ls + 1415, r = -.9!), and the red line is the result of a linear regression using the square roots of the lunch-subsidy percentages (qs = -80 sqrt ls + 1581). Both equations underestimate the achievements of the top schools, and the second one suggests that Littleton ought to pay for more lunches, but these are frighteningly precise correlations between technically independent variables.
135 School nodes data series:   Quant Score ·   Quant Prediction ·   Quant Prediction 2
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Populations and Unemployment (mass.gov) goo.gl/ywj2n ?
District Student Demographics profiles.doe.mass.edu ?
Data Scrutiny and Analysis glenn mcdonald
No results with .
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