ACT Maths Practice Exam
The ACT (American College Testing) Math is a part of exam which is conducted by ACT Inc., to assess your mathematical skills and ability to solve problems in a specific time. The ACT exam is required for admission to college-level courses in the United States. The ACT maths includes algebra, geometry, trigonometry, and statistics.
Certification in ACT Math helps you prepare for the ACT maths exam.Why is ACT Maths certification important?
- Prepares and practices your skills and knowledge to clear the ACT Maths exam
- Shows your skills in mathematical concepts.
- Boosts your credibility as math tutor.
- Offers you an advantage in competitive maths tutoring.
Skills Evaluated
Candidates taking the certification exam on the ACT Maths is evaluated for the following skills:
- Mathematical reasoning
- Algebraic equations and inequalities.
- Geometry
- Spatial reasoning.
- Trigonometry
- Data interpretation
- Statistics comprehension.
- Apply mathematical concepts
ACT Maths Certification Course Outline
The course outline for ACT Maths certification is as below -
Domain 1 - Pre-Algebra
- Basic operations
- Number properties
- Factors
- multiples
- Percentages
- Ratios
- Proportions
- units of measurement
Domain 2 - Elementary Algebra
- Linear equations
- Inequalities
- Exponents
- Polynomials
- Systems of equations
Domain 3 - Intermediate Algebra
- Understanding Quadratic equations
- Understanding Rational expressions
- Functions
Domain 4 - Coordinate Geometry
- Graphing equations and inequalities
- Slope, intercepts, and distance formula
- Conic sections (parabolas, circles, etc.)
Domain 5 - Plane Geometry
- Properties of triangles, circles, and polygons
- Perimeter, area, and volume calculations
- Theorems involving angles and lines
Domain 6 - Trigonometry
- Sine, cosine, and tangent functions
- Trigonometric identities and equations
- Applications of trigonometry in real-world problems
Domain 7 - Probability and Statistics
- Data representation and interpretation
- Probability rules and counting principles
- Descriptive statistics (mean, median, mode)