Maths study guides

A deep-dive Ohio Algebra I guide to expressions and structure, the foundation of the Number and Quantity, Expressions and Equations reporting category. Covers interpreting the parts of an expression, rewriting using structure, polynomial operations, the factoring patterns, the exponent rules and rational exponents, and reasoning with units and accuracy.

A deep-dive Ohio Algebra I guide to functions, the largest reporting category. Covers function notation, domain and range, key graph features, average rate of change, building linear functions, arithmetic and geometric sequences, exponential growth and decay, and comparing linear, quadratic, and exponential models.

A deep-dive Ohio Algebra I guide to linear equations and inequalities, a high-value block of the Expressions and Equations and Functions categories. Covers solving equations with the no-solution and identity cases, solving inequalities with the flip rule, rearranging formulas, creating equations and inequalities from context, writing equations of lines, and slope, intercepts, and graphing.

A deep-dive Ohio Algebra I guide to quadratics, a high-value block of the Algebra and Functions categories. Covers solving by factoring with the zero-product property, the square-root method and completing the square, the quadratic formula and discriminant, graphing parabolas and their key features, and modeling with quadratics.

A deep-dive Ohio Algebra I guide to statistics and probability, a smaller but reliable reporting category. Covers representing data with dot plots, histograms, and box plots, comparing center and spread, two-way frequency tables, scatter plots and lines of best fit, and the correlation coefficient with the correlation-causation distinction.

A deep-dive Ohio Algebra I guide to systems of linear equations and inequalities. Covers solving systems by substitution and elimination, solving by graphing, the no-solution and infinitely-many cases, graphing a single linear inequality as a half-plane, overlapping systems of inequalities, and modeling with constraints.