Santa Fe Computer Science Magnet (Data source)
Source data for Santa Fe Computer Science Magnet
2015
Step 1 | Step 2 | Step 3 | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Get Mean Scale Score from line numbers in this data file. | Subtract 'met min' Scale Score. from Mean Scale Score to get Distance From Standard | Multiply Distance From Standard by proportion of students in grade. | ||||||||||||
Grade | Line number |
Mean Scale Score |
- | Scale Score: met min |
= | Distance from standard |
* | (Students tested in grade |
/ | Students) tested in school |
= | Weighted Distance From Standard |
||
6 | 1032218 | 2505 | - | 2552 | = | -47 | * | (197 | / | 603) | = | -15.3548922 | ||
7 | 1032219 | 2527 | - | 2567 | = | -40 | * | (202 | / | 603) | = | -13.39966832 | ||
8 | 1032222 | 2542 | - | 2586 | = | -44 | * | (204 | / | 603) | = | -14.88557211 | ||
Step 4 | SUM Weighted Distance From Standard to get 2015 Difference From Standard for Santa Fe Computer Science Magnet | -44 |
2016
Step 1 | Step 2 | Step 3 | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Get Mean Scale Score from line numbers in this data file. | Subtract 'met min' Scale Score. from Mean Scale Score to get Distance From Standard | Multiply Distance From Standard by proportion of students in grade. | ||||||||||||
Grade | Line number |
Mean Scale Score |
- | Scale Score: met min |
= | Distance from standard |
* | (Students tested in grade |
/ | Students) tested in school |
= | Weighted Distance From Standard |
||
6 | 32411 | 2480 | - | 2552 | = | -72 | * | (201 | / | 610) | = | -23.72459011 | ||
7 | 32413 | 2507 | - | 2567 | = | -60 | * | (199 | / | 610) | = | -19.57377048 | ||
8 | 32415 | 2558 | - | 2586 | = | -28 | * | (210 | / | 610) | = | -9.63934426 | ||
Step 4 | SUM Weighted Distance From Standard to get 2016 Difference From Standard for Santa Fe Computer Science Magnet | -53 |
2017
Step 1 | Step 2 | Step 3 | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Get Mean Scale Score from line numbers in this data file. | Subtract 'met min' Scale Score. from Mean Scale Score to get Distance From Standard | Multiply Distance From Standard by proportion of students in grade. | ||||||||||||
Grade | Line number |
Mean Scale Score |
- | Scale Score: met min |
= | Distance from standard |
* | (Students tested in grade |
/ | Students) tested in school |
= | Weighted Distance From Standard |
||
6 | 32970 | 2517 | - | 2552 | = | -35 | * | (177 | / | 571) | = | -10.84938701 | ||
7 | 32973 | 2515 | - | 2567 | = | -52 | * | (194 | / | 571) | = | -17.66725043 | ||
8 | 32975 | 2553 | - | 2586 | = | -33 | * | (200 | / | 571) | = | -11.558669 | ||
Step 4 | SUM Weighted Distance From Standard to get 2017 Difference From Standard for Santa Fe Computer Science Magnet | -40 |
2018
Step 1 | Step 2 | Step 3 | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Get Mean Scale Score from line numbers in this data file. | Subtract 'met min' Scale Score. from Mean Scale Score to get Distance From Standard | Multiply Distance From Standard by proportion of students in grade. | ||||||||||||
Grade | Line number |
Mean Scale Score |
- | Scale Score: met min |
= | Distance from standard |
* | (Students tested in grade |
/ | Students) tested in school |
= | Weighted Distance From Standard |
||
6 | 32988 | 2531 | - | 2552 | = | -21 | * | (151 | / | 512) | = | -6.19335938 | ||
7 | 32990 | 2538 | - | 2567 | = | -29 | * | (170 | / | 512) | = | -9.62890625 | ||
8 | 32992 | 2534 | - | 2586 | = | -52 | * | (191 | / | 512) | = | -19.3984375 | ||
Step 4 | SUM Weighted Distance From Standard to get 2018 Difference From Standard for Santa Fe Computer Science Magnet | -35 |
2019
Step 1 | Step 2 | Step 3 | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Get Mean Scale Score from line numbers in this data file. | Subtract 'met min' Scale Score. from Mean Scale Score to get Distance From Standard | Multiply Distance From Standard by proportion of students in grade. | ||||||||||||
Grade | Line number |
Mean Scale Score |
- | Scale Score: met min |
= | Distance from standard |
* | (Students tested in grade |
/ | Students) tested in school |
= | Weighted Distance From Standard |
||
6 | 33160 | 2478 | - | 2552 | = | -74 | * | (187 | / | 512) | = | -27.02734375 | ||
7 | 33161 | 2545 | - | 2567 | = | -22 | * | (146 | / | 512) | = | -6.2734375 | ||
8 | 33162 | 2540 | - | 2586 | = | -46 | * | (179 | / | 512) | = | -16.08203125 | ||
Step 4 | SUM Weighted Distance From Standard to get 2019 Difference From Standard for Santa Fe Computer Science Magnet | -49 |
Last steps
Compute the average
2015 | 2016 | 2017 | 2018 | 2019 | Sum | Average |
---|---|---|---|---|---|---|
-44 | -53 | -40 | -35 | -49 | -221.0 | -44.2 |
Compute the Upper Control Limit
Simply compute the standard deviation and multiply by 3 and add to the average: -23.2
Compute the Lower Control Limit
Simply compute the standard deviation and multiply by 3 and subtract from the average: -65.2
For the lines, you have the data necessary to plot the chart.
Very last step
The percent of students getting a Free or Reduced Price Meal comes from the following sources:
2015 | 2016 | 2017 | 2018 | 2019 | |
---|---|---|---|---|---|
Percent | 72% | 71% | 68% | 73% | 72% |
Data source | 2015 data file | 2016 data file | 2017 data file | 2018 data file | 2019 data file |
Monrovia Unified school district County of Los Angeles
Just a coincidence? That's absurd.
It's a system that causes this pattern to repeat.
THIS chart shows what the
follow-the-schedule method wants.
NOT what teachers want.
NOT what principals want.
NOT what parents want.





• Any result above zero is proficient; below is not proficient. • There is a 99% chance that results will remain the same in coming years, which is to say, between the Upper and Lower Control Limits (the gray lines). • The houses with the % of students receiving a Free or Reduced Price Meal is a measure of wealth/poverty.
Intermediate/Middle Schools (Public) schools in Monrovia Unified (2)
Clifton Middle | Santa Fe Computer Science Magnet |