Browse Standards
View all PreK12 NYS Learning Standards in a dropdown list format.










Standard Area  TECH: Learning Standards for Technology
(see MST standards under Previous Standard Versions) 





















Emphasis: A (AI)Standard  SID.1:
Represent data with plots on the real number line (dot plots, histograms, and box plots). 
Emphasis: A (AI)Standard  SID.2:
Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets. 
Emphasis: A (AI)Standard  SID.3:
Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers). 
Emphasis: A (AII)Standard  SID.4:
Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve.



Emphasis: S (AI)Standard  SID.5:
Summarize categorical data for two categories in twoway frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data. 

Component  SID.6.a:
Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Use given functions or choose a function suggested by the context. Emphasize linear, quadratic, and exponential models. 
Component  SID.6.b:
Informally assess the fit of a function by plotting and analyzing residuals. 
Component  SID.6.c:
Fit a linear function for a scatter plot that suggests a linear association.




Emphasis: M (AI)Standard  SID.7:
Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data. 
Emphasis: M (AI)Standard  SID.8:
Compute (using technology) and interpret the correlation coefficient of a linear fit. 
Emphasis: M (AI)Standard  SID.9:
Distinguish between correlation and causation.




