β Scotland Applications of Mathematics
Applications of Mathematics study guides
SQA-HIGHER Β· Higher (SQA) Β· aligned to SQA.
- SQA Higher Applications of Mathematics Course Assessment: the question paper, the statistics project and grading
A deep-dive guide to how SQA Higher Applications of Mathematics is assessed. Covers the 65-mark question paper across the four content areas, the 30-mark statistics project, how marks combine into the A to D grade, the use of software, and how to prepare for each component.
π 12 min readHigher - SQA Higher Applications of Mathematics Finance: present and future value, loans and credit, tax, inflation and insurance
A deep-dive SQA Higher Applications of Mathematics guide to Finance, the largest weighted area of the course. Covers present and future value under compound interest, loans, credit cards and APR, and personal financial planning with income tax, inflation and insurance.
π 15 min readHigher - SQA Higher Applications of Mathematics Mathematical Modelling: formulae, graphs, units, accuracy and spreadsheets
A deep-dive SQA Higher Applications of Mathematics guide to Mathematical Modelling. Covers building linear, piecewise and exponential models, working with units and dimensional consistency, rounding and error, tolerance, and using a spreadsheet with cell references, functions and goal seek.
π 14 min readHigher - SQA Higher Applications of Mathematics Planning and Decision Making: critical path, Gantt charts and expected value
A deep-dive SQA Higher Applications of Mathematics guide to Planning and Decision Making. Covers activity networks and the critical path, float, Gantt charts and PERT scheduling, and using expected value with decision tables and trees to choose under risk.
π 14 min readHigher - SQA Higher Applications of Mathematics Statistics and Probability: diagrams, correlation, hypothesis testing and expectation
A deep-dive SQA Higher Applications of Mathematics guide to Statistics and Probability. Covers statistical diagrams and sampling, Pearson's correlation and linear regression, hypothesis tests with p-values and confidence intervals, and probability with expected value.
π 15 min readHigher