STANDARD
S.ID.A.2
AI
Use statistics appropriate to the shape of the data distribution to compare
center (median, mean) and spread (interquartile range, sample standard deviation)
of two or more different data sets.
Values in the given data sets will represent samples of larger
populations. The calculation of standard deviation will be based on the
sample standard deviation formula s=√(Σ(x-x)2
/(n-1)). The sample standard deviation calculation will be used
to make a statement about the population standard deviation from which the
sample was drawn. |
REGENTS
WORKSHEETS |
Regents-Dispersion 1
AI/B/SIII
basic |
2/2/11 |
TST
PDF
DOC |
Regents-Central Tendency and Dispersion
AI/A2/A/B
multiple data sets |
8/1/2/4 |
TST
PDF
DOC |
Practice-Central Tendency and Dispersion
multiple data sets |
10 |
WS
PDF |
RELATED TOPIC |
Regents-Dispersion 2
A2/B/SIII
basic, group frequency distributions |
4/2/16 |
TST
PDF
DOC |
Regents-Dispersion 3
A2/B/SIII
advanced |
2/4/3 |
TST
PDF
DOC |
Regents-Dispersion 4
A2/B/SIII
advanced, group frequency distributions |
1/3/10 |
TST
PDF
DOC |
PRACTICE
WORKSHEETS
& JOURNALS |
Practice-Dispersion |
10 |
WS
PDF |
Journal-Dispersion |
6 |
WS
PDF |
LESSON PLAN |
Central Tendency and Dispersion |
PDF
DOC |