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	1435895	2383	-	2436	=	-53	*	(51	/	149)	=	-18.14093959
4	1435898	2467	-	2485	=	-18	*	(49	/	149)	=	-5.91946308
5	1435899	2488	-	2528	=	-40	*	(49	/	149)	=	-13.1543624
Step 4	SUM Weighted Distance From Standard to get 2015 Difference From Standard for Richard Henry Dana Elementary											-37

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	45209	2406	-	2436	=	-30	*	(46	/	143)	=	-9.65034963
4	45210	2424	-	2485	=	-61	*	(48	/	143)	=	-20.47552444
5	45213	2502	-	2528	=	-26	*	(49	/	143)	=	-8.90909089
Step 4	SUM Weighted Distance From Standard to get 2016 Difference From Standard for Richard Henry Dana Elementary											-39

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	46419	2378	-	2436	=	-58	*	(47	/	135)	=	-20.19259258
4	46420	2434	-	2485	=	-51	*	(43	/	135)	=	-16.24444442
5	46423	2447	-	2528	=	-81	*	(45	/	135)	=	-26.99999997
Step 4	SUM Weighted Distance From Standard to get 2017 Difference From Standard for Richard Henry Dana Elementary											-63

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	46428	2401	-	2436	=	-35	*	(37	/	122)	=	-10.61475408
4	46430	2438	-	2485	=	-47	*	(44	/	122)	=	-16.95081964
5	46432	2464	-	2528	=	-64	*	(41	/	122)	=	-21.50819667
Step 4	SUM Weighted Distance From Standard to get 2018 Difference From Standard for Richard Henry Dana Elementary											-49

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	46611	2435	-	2436	=	-1	*	(29	/	101)	=	-0.28712871
4	46612	2452	-	2485	=	-33	*	(34	/	101)	=	-11.10891088
5	46613	2480	-	2528	=	-48	*	(38	/	101)	=	-18.0594059
Step 4	SUM Weighted Distance From Standard to get 2019 Difference From Standard for Richard Henry Dana Elementary											-29

Last steps

Compute the average

2015	2016	2017	2018	2019	Sum	Average
-37	-39	-63	-49	-29	-217.0	-43.4

Compute the Upper Control Limit

Simply compute the standard deviation and multiply by 3 and add to the average: -4.4

Compute the Lower Control Limit

Simply compute the standard deviation and multiply by 3 and subtract from the average: -82.4

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	78%	84%	87%	93%	87%
Data source	2015 data file	2016 data file	2017 data file	2018 data file	2019 data file