Grade Level Expectations
1.1.1: Demonstrate an understanding of numbers as rational or irrational
Rational Numbers, Opposites, and Absolute Values
1.1.2: Compare relative sizes of real numbers
Comparing and Ordering Decimals
Rational Numbers, Opposites, and Absolute Values
1.1.3: Estimate square roots
1.2.2: Extend the ?order of operations? to include absolute value
Rational Numbers, Opposites, and Absolute Values
1.2.4: Use properties of the real number system to simplify expressions (Associative, Commutative, Identity, Inverse, and Distributive)
Equivalent Algebraic Expressions I
Equivalent Algebraic Expressions II
Operations with Radical Expressions
Simplifying Algebraic Expressions I
Simplifying Algebraic Expressions II
Solving Algebraic Equations I
Solving Algebraic Equations II
2.1.2: Understand and compare the graphs, tables, and equations within linear contexts that are direct variations (proportional) and those that are not
Absolute Value with Linear Functions
Arithmetic Sequences
Compound Interest
Direct and Inverse Variation
Exponential Functions
Linear Functions
Points, Lines, and Equations
Slope-Intercept Form of a Line
2.1.3: Describe the effect of parameter changes on linear and exponential functions within a context, table, graph, and equation
Absolute Value with Linear Functions
Introduction to Exponential Functions
Points, Lines, and Equations
Slope-Intercept Form of a Line
2.1.4: Compare linear with exponential functions using, the context, table, graph, or equation
Absolute Value with Linear Functions
Exponential Functions
Linear Functions
Logarithmic Functions
2.2.1: Model and solve real-world linear situations, including linear inequalities, using tables, graphs, and symbols
Slope-Intercept Form of a Line
Systems of Linear Inequalities (Slope-intercept form)
Using Algebraic Expressions
2.2.2: Model and solve situations involving systems of equations with tables or graphs using technology
Solving Equations by Graphing Each Side
Solving Linear Systems (Matrices and Special Solutions)
Solving Linear Systems (Standard Form)
2.2.3: Analyze data sets using technology to find an appropriate linear or exponential mathematical model
Correlation
Least-Squares Best Fit Lines
Solving Using Trend Lines
2.2.6: Analyze the interrelationship among the table, graph and equation of both linear and exponential functions paying particular attention to the meaning of intercept and slope in the context of the problem
Cat and Mouse (Modeling with Linear Systems)
Compound Interest
Logarithmic Functions
Slope-Intercept Form of a Line
2.3.1: Determine symbolically the equation of a line given combinations of point, slope, and intercept information
Linear Inequalities in Two Variables
Point-Slope Form of a Line
Points, Lines, and Equations
Slope-Intercept Form of a Line
Standard Form of a Line
2.3.2: Convert between equivalent forms of linear functions
Linear Functions
Points, Lines, and Equations
2.3.3: Solve single variable equations and inequalities algebraically
Absolute Value Equations and Inequalities
Compound Inequalities
Linear Inequalities in Two Variables
Modeling One-Step Equations
Modeling and Solving Two-Step Equations
Solving Equations on the Number Line
Solving Linear Inequalities in One Variable
Solving Two-Step Equations
3.3.1: Demonstrate an understanding of and apply formulas for area, surface area, and volume of geometric figures including pyramids, cones, spheres, and cylinders
Area of Parallelograms
Area of Triangles
Perimeter and Area of Rectangles
Prisms and Cylinders
Pyramids and Cones
Surface and Lateral Areas of Prisms and Cylinders
Surface and Lateral Areas of Pyramids and Cones
4.1.1: Describe and explain how the validity of predictions are affected by number of trials, sample size, and the population
4.2.1: Select and interpret the most appropriate display for a given purpose and set(s) of data (e.g., histograms, parallel box plots, stem-and-leaf plots, scatter plots)
Box-and-Whisker Plots
Correlation
Histograms
Least-Squares Best Fit Lines
Real-Time Histogram
Solving Using Trend Lines
Stem-and-Leaf Plots
Trends in Scatter Plots
4.3.2: Describe the effect of outliers in both one-variable and two-variable contexts
Describing Data Using Statistics
Least-Squares Best Fit Lines
Mean, Median, and Mode
4.4.1: Use and design simulations or experiments to determine probabilities of independent and dependent events
Binomial Probabilities
Independent and Dependent Events
4.4.3: Compare event experimental probability with theoretical probability (Law of Large Numbers)
Theoretical and Experimental Probability
Correlation last revised: 5/9/2018