About Course
A self-paced study companion for KASNEB CA15, with 40 lessons and 8 theory quizzes. Learn through explanations, worked examples, guided practice and answer checks.
What you will learn
- Select a quantitative method for a stated question.
- Reproduce statistical, forecasting and optimisation calculations.
- Evaluate decisions under risk and uncertainty.
- Explain assumptions, limitations and the value of information.
Course coverage
integration; descriptive statistics; probability and hypothesis tests; correlation and regression; time series; linear programming; decision analysis.
Practical study
A calculator and spreadsheet application; a permitted R environment supports the hypothesis-test practice. Use fictional data, preserve original inputs and retain calculations or code with independent checks. All worked-example inputs are supplied in the lessons.
Continue practical work at the CA15 Analytics Lab checkpoint, or use a permitted local calculation environment. Retain your own evidence files; opening a checkpoint is not a graded submission.
Assessment
Complete the topic checks and the eight-question final quiz. The final quiz allows three attempts, has a 20-minute limit and requires 70% to pass. Guided practical work is self-checked; this companion does not include instructor grading of uploaded practical files.
Official examination preparation
This is an independent study companion and does not award a KASNEB qualification or guarantee an examination result. Check the current syllabus and requirements for your sitting on the official KASNEB website. The course topic list is not a certification of complete current syllabus coverage.
Course Content
01 — Foundations and Syllabus Verification
-
How the CA15 theory companion works
-
Official-requirements register and verification status
-
Theory-to-Analytics-Lab learning journey
-
Integration and business applications
-
Descriptive statistics: central tendency
-
Dispersion, skewness and kurtosis
-
CA15 1 — Mathematical Techniques Theory Check