WACE Mathematics

Introduction

WACE Math focuses on recognizing and applying functional computing concepts and techniques in real-world situations, including personal, community and workplace contexts. This syllabus provides students with the mathematical knowledge, understanding, and skills related to percentages and associating with fractions and decimals, and solving problems involving four operations using math; perimeter, area, volume and productivity; the relationship between statistics and probability; represent and communicate mathematically, in accordance with the language of the context…

Objectives

Systematize the core knowledge of the subject

Become familiar with most WACE exam formats

Reduce pressure and study time

Improve scores effectively

Create a solid foundation for higher education

Characteristics

Quality teachers with extensive knowledge about students psychology

Teaching programs are based on international standards

Exclusive materials that closely follow the WACE formats

Personalized teaching method according to student progress

Commitment on WACE pass grade

Course content

Unit 1: Consumer arithmetic

1.1 Applications of rates and percentages

1.2 Use of spread sheets

Unit 2: Algebra and matrices

2.1 Linear and non-linear expressions

2.2 Matrices and matrix arithmetic

Unit 3: Shape and measurement

3.1 Pythagoras’ theorem

3.2 Mensuration

3.3 Similar figures and scale factors

Unit 4: Univariate data analysis and the statistical investigation process

4.1 The statistical investigation process

4.2 Making sense of data relating to a single statistical variable

4.3 Comparing data for a numerical variable across two or more groups

Unit 5: Applications of trigonometry

5.1 Use trigonometric ratios to determine the length of an unknown side

5.2 Determine the area of a triangle

5.3 Solve problems involving non-right-angled triangles using the sine rule and the cosine rule

5.4 Solve practical problems involving right-angled and non-right-angled triangles

Unit 6: Linear equations and their graphs

6.1 Linear equations

6.2 Straight-line graphs and their applications

6.3 Simultaneous linear equations and their applications

6.4 Piece-wise linear graphs and step graphs

Unit 7: Bivariate data analysis

7.1 The statistical investigation process

7.2 Identifying and describing associations between two categorical variables

7.3 Identifying and describing associations between two numerical variables

7.4 Fitting a linear model to numerical data

7.5 Association and causation

7.6 The data investigation process

Unit 8: Growth and decay in sequences

8.1 The arithmetic sequence

8.2 The geometric sequence

8.3 Sequences generated by first-order linear recurrence relations

Unit 9: Graphs and networks

9.1 The definition of a graph and associated terminology

9.2 Planar graphs

9.3 Paths and cycles

Unit 10: Time series analysis

10.1 Describing and interpreting patterns in time series data

10.2 Analyzing time series data

10.3 The data investigation process

Unit 11: Loans, investments and annuities

11.1 Compound interest loans and investments

11.2 Reducing balance loans

11.3 Annuities and perpetuities

Unit 12: Networks and decision mathematics

12.1 Trees and minimum connector problems

12.2 Project planning and scheduling using critical path analysis (CPA)

12.3 Flow networks

12.4 Assignment problems

Choose a form of study

Small class

Private tutoring group

1 plus 1

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