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Math Tutoring Service (in-person or online) in Saint Louis, Missouri

Math and Stat Subjects

Below is a list of math and stat subjects available for tutoring.

Arithmetic:

Basic Operations, Properties of Numbers, Number Systems, Fractions, Decimals, Percentages, Exponents and Powers, Square Roots, Factors, Multiples, Ratios and Proportions, Word Problems, and Applications, Modular Arithmetic.

Algebra I:

Understanding Variables and Expressions, Operations with Real Numbers, Solving Linear Equations, Solving Graphing Inequalities, Functions and Relations, Linear Functions and Graphing, Systems of Linear Equations, Exponential Functions and Sequences, Polynomial Functions and Factoring, Rational Expressions, Radical Functions and Expressions, Solving and Graphing Quadratic Functions, Data Analysis and Displays.

Algebra II:

Linear Functions, Quadratic Functions, Quadratic Equations and Complex Numbers, Polynomial Functions, Rational Exponents and Radical Functions, Exponential and Logarithmic Functions, Rational Functions, Probability, Data Analysis and Statistics, Trigonometric Ratios and Functions, Sequences and Series, Matrices.

Trigonometry:

Basic Trigonometric Ratios, The Unit Circle, Trigonometric Functions of Any Angle, Inverse Trigonometric Functions, The Pythagorean Identity, Law of Sines, Law of Cosines, Trigonometric Identities, Trigonometric Equations, Polar Coordinates and Graphs, Graphing Trigonometric Functions, Application of Trigonometry.

Pre-Calculus:

Review of Algebra (Prerequisites), Functions and Relations, Polynomial and Rational Functions, Exponential and Logarithmic Function, Trigonometric Functions, Analytic Trigonometry, Applications of Trigonometric Functions, Trigonometry Applied to Polar Coordinate Systems and Vectors, Systems of Equations and Inequalities, Matrices, Determinants and Applications, Analytic Geometry, Sequences, Series, Induction, and Probability, Introduction to Limits, Preview of Calculus.

Calculus:

Limits and Continuity, Differentiation (definition and fundamental properties), Differentiation (composite, implicit, and inverse functions), Contextual Applications of Differentiation, Analytical Application of the Derivative, Integration and Accumulation of Change, Differential Equations, Applications of Integration, Parametric Equations, Polar Equations, Vector Functions, Infinite Sequences and Series.

Geometry:

Basics of Geometry (Points, Lines, Planes), Reasoning and Proofs, Parallel and Perpendicular Lines, Transformations, Congruent Triangles, Relationships within Triangles, Quadrilaterals and Other Polygons, Similarity, Right Triangles and Trigonometry, Circles, Circumference and Area, Surface Area and Volume, Probability.

Statistics:

Descriptive Statistics, Inferential statistics, and Probability including optional practice with R and Python: Analyzing One-Variable Data (measuring center, variability), Modeling One-Variable Data (describing location, transformation, density curves, empirical rule, normality, normal distributions) Analyzing Two-Variable Data (relationships between variables, correlation, regression lines, regression analysis), Collecting Data (data collection, sampling, inference, study designs), Probability (basic, conditional), Random Variables, Sampling Distributions, Estimating a Parameter, Testing a Claim, Comparing Two Populations or Treatments, Inference for Distributions and Relationships.

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