• Counting & Cardinality
• Operations & Algebraic Thinking
• Number & Operations In Base Ten
• Measurement And Data
• Geometry

• Operations & Algebraic Thinking
• Number & Operations In Base Ten
• Measurement And Data
• Geometry

• Operations & Algebraic Thinking
• Number & Operations In Base Ten
• Measurement And Data
• Geometry

• Operations & Algebraic Thinking
• Number & Operations In Base Ten
• Measurement And Data
• Geometry
• Number & Operations—Fractions

• Operations & Algebraic Thinking
• Number & Operations In Base Ten
• Measurement And Data
• Geometry
• Number & Operations—Fractions

• Operations & Algebraic Thinking
• Number & Operations In Base Ten
• Measurement And Data
• Geometry
• Number & Operations—Fractions

• Geometry
• Ratios & Proportional Relationships
• The Number System
• Expressions & Equations
• Statistics & Probability

• Geometry
• Ratios & Proportional Relationships
• The Number System
• Expressions & Equations
• Statistics & Probability

• Geometry
• The Number System
• Expressions & Equations
• Statistics & Probability
• Functions

• The Real Number System
• Quantities
• The Complex Number System
• Vector & Matrix Quantities

• Seeing Structure In Expressions
• Arithmetic With Polynomials & Rational Expressions
• Creating Equations
• Reasoning With Equations & Inequalities

• Interpreting Functions
• Building Functions
• Linear, Quadratic, & Exponential Models*
• Trigonometric Functions

• Congruence
• Similarity, Right Triangles, & Trigonometry
• Circles
• Expressing Geometric Properties With Equations
• Geometric Measurement And Dimension
• Modeling With Geometry

• Interpreting Categorical & Quantitative Data
• Making Inferences & Justifying Conclusions
• Conditional Probability & The Rules Of Probability
• Using Probability To Make Decisions

• Mathematical Practices

S-ID.1 Represent data with plots on the real number line (dot plots, histograms, and box plots).

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.

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).

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.

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.

S-ID.6 Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.

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.

S-ID.6.B Informally assess the fit of a function by plotting and analyzing residuals.

S-ID.6.C Fit a linear function for a scatter plot that suggests a linear association.

S-ID.7 Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.

S-ID.8 Compute (using technology) and interpret the correlation coefficient of a linear fit.

S-ID.9 Distinguish between correlation and causation.