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## Browse Standards

View all PreK-12 NYS Learning Standards in a dropdown list format.
• Standard Area - TECH: Learning Standards for Technology
(see MST standards under Previous Standard Versions)
• Standard - S-ID.1:
Represent data with plots on the real number line (dot plots, histograms, and box plots).
Emphasis: A (AI)
• Standard - S-ID.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 - S-ID.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 (AI)
• Standard - S-ID.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: A (AII)
• Standard - S-ID.5:
Summarize categorical data for two categories in two-way 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.
Emphasis: S (AI)
• Component - S-ID.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 - S-ID.6.b:
Informally assess the fit of a function by plotting and analyzing residuals.
• Component - S-ID.6.c:
Fit a linear function for a scatter plot that suggests a linear association.
• Standard - S-ID.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 - S-ID.8:
Compute (using technology) and interpret the correlation coefficient of a linear fit.
Emphasis: M (AI)
• Standard - S-ID.9:
Distinguish between correlation and causation.
Emphasis: M (AI) 