Timed, scored practice tests for every subject I tutor — free, no login required. Pick a test from the cards below and start working immediately.
The real thing: two Reading & Writing modules, a 10-minute break, then two Math modules. Single score across all 98 questions.
27-question Reading & Writing module timed against the real 32-minute clock. 1,688 questions in the bank.
22-question Math module timed against the real 35-minute clock. 1,675 questions across all four SAT Math domains.
Two hundred timed math questions across foundational algebra, geometry, and problem solving — built for the NEX entrance exam pattern.
Quick diagnostic that flags which Algebra 1 topics need shoring up before tackling Algebra 2 or coursework.
Spot the Algebra 2 weak points — quadratics, functions, exponents, and logs — before they cost you in Precalc or Calc.
Check limits, derivatives, and applications before your Calc 1 midterm. Targets the topics most students lose points on.
Sample midterm covering variables, control flow, functions, and basic data structures — the foundation every intro CS class tests.
All of AB plus series, polar & parametric curves, and advanced integration techniques.
Polynomial, exponential, logarithmic, and trigonometric functions with real-world modeling.
Exploring data, sampling, probability distributions, and inference with FRQ writing practice.
Kinematics, Newton's laws, rotational motion, waves, and DC circuits — algebra-based.
Fluids, thermodynamics, electromagnetism, optics, and modern physics — algebra-based.
Calculus-based kinematics, Newton's laws, work-energy, rotation, and oscillations.
Calculus-based electrostatics, Gauss's law, circuits, magnetism, and induction.
Java OOP, arrays, ArrayLists, inheritance, recursion, and 2D arrays.
Abstractions, algorithms, the internet, cybersecurity, and data analysis.
Integers, fractions, ratios, percents, basic equations, and intro to variables.
Linear equations & inequalities, systems, quadratics, and function notation.
Polynomials, rational functions, exponentials, logarithms, and sequences & series.
Proofs, congruence, similarity, circles, coordinate geometry, and 3-D solids.
Unit circle, trig functions, identities, inverse trig, and laws of sines & cosines.
Conic sections, vectors, polar coordinates, complex numbers, and limits as a preview.
Limits, continuity, differentiation rules, related rates, and optimization.
Integration techniques, improper integrals, sequences, and series convergence tests.
Partial derivatives, multiple integrals, vector fields, and Stokes' & Divergence theorems.
First & second order ODEs, systems, Laplace transforms, and series solutions.
Vectors, matrices, linear systems, eigenvalues/vectors, orthogonality, and transformations.
Logic, proofs, sets, combinatorics, graph theory, and modular arithmetic.
Sample spaces, conditional probability, Bayes' theorem, distributions, and expected value.
Epsilon-delta limits, sequences, series, continuity, differentiability, and the Riemann integral.
Algorithms, abstraction, data representation, Boolean logic, and basic programming concepts.
Variables, loops, conditionals, functions, and basic I/O — language-agnostic concepts.
Syntax, lists, dicts, file I/O, OOP, comprehensions, and the standard library.
OOP, inheritance, interfaces, generics, collections, and exception handling.
Pointers, memory management, structs, classes, templates, and STL containers.
Arrays, linked lists, stacks, queues, trees, graphs, sorting, and Big-O analysis.
Semantic HTML, the box model, Flexbox, CSS Grid, selectors, and responsive design.
Supervised & unsupervised learning, model evaluation, neural network basics, and common algorithms.
CIA triad, encryption, authentication, network attacks, and defensive strategies.
File system, permissions, shell scripting, processes, networking commands, and package management.
OSI model, TCP/IP, DNS, HTTP, routing, subnetting, and network security basics.
C# syntax, OOP, LINQ, async/await, interfaces, and .NET class library fundamentals.
Kinematics, Newton's laws, energy, momentum, rotational motion, and simple harmonic motion.
Electric fields, circuits, magnetism, electromagnetic waves, optics, and modern physics intro.
Vectors, kinematics, Newton's laws with calculus, work-energy theorem, and momentum.
Maxwell's equations, Gauss's & Faraday's laws, AC circuits, and electromagnetic waves.
Descriptive stats, probability basics, distributions, hypothesis testing, and confidence intervals.
Pandas, NumPy, data wrangling, visualization, exploratory analysis, and regression basics.
End-to-end pipeline: collection, cleaning, EDA, modeling, evaluation, and communication.