Algebra 1 (Florida B.E.S.T.)

NSO – Number Sense and Operations

• MA.912.NSO.1.1 Apply exponent laws to evaluate and rewrite expressions with rational exponents.
• MA.912.NSO.1.2 Generate equivalent algebraic expressions using properties of exponents.
• MA.912.NSO.1.4 Add, subtract, multiply and divide numerical radicals, limited to two radicals per expression.

AR – Algebraic Reasoning

• MA.912.AR.1.1 Identify and interpret parts of an expression or equation in mathematical or real-world terms.
• MA.912.AR.1.2 Rearrange equations or formulas to isolate a quantity of interest.
• MA.912.AR.1.3 Add, subtract and multiply polynomials with rational coefficients.
• MA.912.AR.1.4 Divide a polynomial by a monomial with rational coefficients.
• MA.912.AR.1.7 Factor a polynomial into a product of polynomials over the real numbers.
• MA.912.AR.2.1 Write and solve one-variable multi-step linear equations from real-world contexts.
• MA.912.AR.2.2 Write a linear equation from a graph, table or written description.
• MA.912.AR.2.3 Write a linear equation for a line parallel or perpendicular to a given line through a point.
• MA.912.AR.2.4 Graph a linear function and identify its domain, range, intercepts and rate of change.
• MA.912.AR.2.5 Solve and graph real-world linear models, interpreting key features and constraints.
• MA.912.AR.2.6 Write and solve one-variable linear and compound inequalities, showing solutions algebraically or graphically.
• MA.912.AR.2.7 Write two-variable linear inequalities from a graph or written description.
• MA.912.AR.2.8 Graph the solution set of a two-variable linear inequality.
• MA.912.AR.3.1 Write and solve one-variable quadratic equations using factoring, square roots, formula or completing the square.
• MA.912.AR.3.4 Write a quadratic function from a graph, description or table of values.
• MA.912.AR.3.5 Write a quadratic equation given its x-intercepts and another point.
• MA.912.AR.3.6 Find the vertex and zeros of a quadratic and interpret them in context.
• MA.912.AR.3.7 Graph a quadratic function and identify its key features.
• MA.912.AR.3.8 Solve and graph real-world quadratic models, interpreting key features and constraints.
• MA.912.AR.4.1 Write and solve one-variable absolute value equations.
• MA.912.AR.4.3 Graph an absolute value function and identify its key features.
• MA.912.AR.5.3 Classify an exponential function as representing growth or decay.
• MA.912.AR.5.4 Write an exponential function from a graph, description or table.
• MA.912.AR.5.6 Graph an exponential function and identify its key features.
• MA.912.AR.9.1 Write and solve two-variable linear systems algebraically or graphically.
• MA.912.AR.9.4 Graph the solution set of a system of two-variable linear inequalities.
• MA.912.AR.9.6 Represent real-world constraints as linear equations or inequalities and judge viable options.

F – Functions

• MA.912.F.1.1 Classify a function's type from an equation, graph or input-output table.
• MA.912.F.1.2 Evaluate a function for an input in its domain and interpret the output in context.
• MA.912.F.1.3 Calculate and interpret average rate of change over a specified interval.
• MA.912.F.1.5 Compare key features of linear functions in different representations.
• MA.912.F.1.6 Compare key features of linear and nonlinear functions in different representations.
• MA.912.F.1.8 Determine whether a linear, quadratic or exponential function best models a situation.
• MA.912.F.2.1 Describe how replacing f(x) with f(x)+k, kf(x), f(kx) or f(x+k) changes a graph or table.

FL – Financial Literacy

• MA.912.FL.3.2 Solve real-world problems involving simple, compound and continuously compounded interest.
• MA.912.FL.3.4 Explain how simple interest relates to linear growth and compound interest to exponential growth.

DP – Data Analysis and Probability

• MA.912.DP.1.1 Select an appropriate display for categorical or numerical data, univariate or bivariate.
• MA.912.DP.1.2 Interpret data distributions in various displays, identifying data type and components.
• MA.912.DP.1.3 Explain the difference between correlation and causation for categorical and numerical data.
• MA.912.DP.1.4 Estimate a population total, mean or percentage from sample data, using a given margin of error.
• MA.912.DP.2.4 Fit a linear function to bivariate data and interpret the slope and y-intercept in context.
• MA.912.DP.2.6 Determine correlation strength and direction from a scatter plot with a line of fit and residuals.
• MA.912.DP.3.1 Construct a two-way frequency table and interpret joint and marginal frequencies for associations.