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
3	1537212	2384	-	2436	=	-52	*	(161	/	459)	=	-18.2396514
4	1537215	2435	-	2485	=	-50	*	(151	/	459)	=	-16.4488017
5	1537216	2452	-	2528	=	-76	*	(147	/	459)	=	-24.33986921
Step 4	SUM Weighted Distance From Standard to get 2015 Difference From Standard for Abraham Lincoln Elementary											-59

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
3	48153	2391	-	2436	=	-45	*	(165	/	465)	=	-15.96774191
4	48154	2438	-	2485	=	-47	*	(154	/	465)	=	-15.56559137
5	48157	2459	-	2528	=	-69	*	(146	/	465)	=	-21.66451609
Step 4	SUM Weighted Distance From Standard to get 2016 Difference From Standard for Abraham Lincoln Elementary											-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
3	49481	2393	-	2436	=	-43	*	(153	/	469)	=	-14.02771852
4	49483	2429	-	2485	=	-56	*	(165	/	469)	=	-19.7014925
5	49484	2450	-	2528	=	-78	*	(151	/	469)	=	-25.11300636
Step 4	SUM Weighted Distance From Standard to get 2017 Difference From Standard for Abraham Lincoln Elementary											-59

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
3	49495	2376	-	2436	=	-60	*	(130	/	434)	=	-17.9723502
4	49496	2443	-	2485	=	-42	*	(147	/	434)	=	-14.22580643
5	49499	2450	-	2528	=	-78	*	(157	/	434)	=	-28.21658986
Step 4	SUM Weighted Distance From Standard to get 2018 Difference From Standard for Abraham Lincoln Elementary											-60

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
3	49693	2402	-	2436	=	-34	*	(121	/	389)	=	-10.57583546
4	49694	2441	-	2485	=	-44	*	(124	/	389)	=	-14.0257069
5	49695	2459	-	2528	=	-69	*	(144	/	389)	=	-25.54241641
Step 4	SUM Weighted Distance From Standard to get 2019 Difference From Standard for Abraham Lincoln Elementary											-50

Last steps

Compute the average

2015	2016	2017	2018	2019	Sum	Average
-59	-53	-59	-60	-50	-281.0	-56.2

Compute the Upper Control Limit

Simply compute the standard deviation and multiply by 3 and add to the average: -44.2

Compute the Lower Control Limit

Simply compute the standard deviation and multiply by 3 and subtract from the average: -68.2

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	87%	92%	90%	92%	90%
Data source	2015 data file	2016 data file	2017 data file	2018 data file	2019 data file