← Professional catalogueKASNEB · Certified Public Accountants (CPA)
CA15 — Quantitative Analysis
Quantitative professional examination preparation with worked problems, spreadsheet practice and timed assessment.
SYLLABUS
DatalytIQs practical mapping v1 — source KASNEB CPA July 2021
Official syllabus detail has not yet been activated in DatalytIQs.
01
CA15.1 · Mathematical Techniques
Apply mathematical and descriptive-statistical techniques to business problems.
02
CA15.2 · Set Theory and Probability
Apply set and probability reasoning to uncertainty.
03
CA15.3 · Hypothesis Testing and Estimation
Apply statistical inference to business evidence.
04
CA15.4 · Correlation and Regression
Measure and model relationships between variables.
05
CA15.5 · Time Series
Analyse temporal components and produce forecasts.
06
CA15.6 · Linear Programming
Formulate and solve constrained business decisions.
07
CA15.7 · Decision Theory
Evaluate decisions under risk and uncertainty.
PREPARATION PATH
Learn → Practise → Demonstrate → Review
Tutor LMS carries the theory layer. Analytics Lab carries practical activity, evidence and readiness. Python/R execution remains fail-closed until an isolated runner is available.
Academy Course
Linked to the Academy preparation course.
Exam Workspace
7 practical activities mapped to the paper.
Evidence pending
Readiness appears only after reviewed practical evidence and competency evidence exist.
ANALYTICS LAB PRACTICALS
Evidence-generating activities
Each activity is DatalytIQs-developed preparation work mapped to the syllabus source. It is not an official KASNEB examination question.
01
CA15.1 · Mathematical Techniques
CA15-QA-01 · Business Mathematics and Descriptive Statistics
Solve a synthetic business case requiring mathematical techniques and descriptive statistics; show method selection and interpretation.
Evidence: worked calculations · summary statistics · business interpretation
Mode: guided calculation · dataset ca15_math_stats_v1Assignment — Business Mathematics and Descriptive Statistics
Complete the quantitative-analysis practical as an examination-style assignment. Show formulas and working, justify the selected method, verify the result and give a concise business interpretation.
Deliverables: worked calculations · summary statistics · business interpretation · learner reflection · final recommendation
Marking: problem formulation and method 20% · technical accuracy and working 30% · evidence and reproducibility 20% · interpretation and recommendation 20% · professional presentation 10%
75 minutes · Pass threshold 70% · contributes to readiness02
CA15.2 · Set Theory and Probability
CA15-QA-02 · Probability Decision Mission
Apply probability laws and an appropriate distribution to a synthetic business-risk scenario; calculate and interpret decision probabilities.
Evidence: probability calculations · distribution choice · decision interpretation
Mode: guided calculation · dataset ca15_probability_v1Assignment — Probability Decision Mission
Complete the quantitative-analysis practical as an examination-style assignment. Show formulas and working, justify the selected method, verify the result and give a concise business interpretation.
Deliverables: probability calculations · distribution choice · decision interpretation · learner reflection · final recommendation
Marking: problem formulation and method 20% · technical accuracy and working 30% · evidence and reproducibility 20% · interpretation and recommendation 20% · professional presentation 10%
75 minutes · Pass threshold 70% · contributes to readiness03
CA15.3 · Hypothesis Testing and Estimation
CA15-QA-03 · Hypothesis Testing Mission
Formulate hypotheses, select a suitable test for a synthetic business dataset, calculate or interpret the test statistic and make a contextual conclusion.
Evidence: hypotheses · test evidence · contextual conclusion
Mode: guided calculation · dataset ca15_hypothesis_v1Assignment — Hypothesis Testing Mission
Complete the quantitative-analysis practical as an examination-style assignment. Show formulas and working, justify the selected method, verify the result and give a concise business interpretation.
Deliverables: hypotheses · test evidence · contextual conclusion · learner reflection · final recommendation
Marking: problem formulation and method 20% · technical accuracy and working 30% · evidence and reproducibility 20% · interpretation and recommendation 20% · professional presentation 10%
75 minutes · Pass threshold 70% · contributes to readiness04
CA15.4 · Correlation and Regression
CA15-QA-04 · Correlation and Regression Mission
Analyse association and fit a regression model using a synthetic business dataset; interpret strength, coefficients, fit and limitations.
Evidence: correlation evidence · regression output · business interpretation
Mode: guided calculation · dataset ca15_regression_v1Assignment — Correlation and Regression Mission
Complete the quantitative-analysis practical as an examination-style assignment. Show formulas and working, justify the selected method, verify the result and give a concise business interpretation.
Deliverables: correlation evidence · regression output · business interpretation · learner reflection · final recommendation
Marking: problem formulation and method 20% · technical accuracy and working 30% · evidence and reproducibility 20% · interpretation and recommendation 20% · professional presentation 10%
75 minutes · Pass threshold 70% · contributes to readiness05
CA15.5 · Time Series
CA15-QA-05 · Time-Series Forecasting Mission
Decompose a synthetic monthly series, estimate trend/seasonality and produce a justified forecast using an appropriate syllabus method.
Evidence: time-series calculations · forecast · method rationale
Mode: guided calculation · dataset ca15_timeseries_v1Assignment — Time-Series Forecasting Mission
Complete the quantitative-analysis practical as an examination-style assignment. Show formulas and working, justify the selected method, verify the result and give a concise business interpretation.
Deliverables: time-series calculations · forecast · method rationale · learner reflection · final recommendation
Marking: problem formulation and method 20% · technical accuracy and working 30% · evidence and reproducibility 20% · interpretation and recommendation 20% · professional presentation 10%
75 minutes · Pass threshold 70% · contributes to readiness06
CA15.6 · Linear Programming
CA15-QA-06 · Linear Programming Decision
Formulate and solve a synthetic constrained optimisation problem and explain the recommended business decision.
Evidence: LP model · solution evidence · decision recommendation
Mode: guided calculation · dataset ca15_lp_v1Assignment — Linear Programming Decision
Complete the quantitative-analysis practical as an examination-style assignment. Show formulas and working, justify the selected method, verify the result and give a concise business interpretation.
Deliverables: LP model · solution evidence · decision recommendation · learner reflection · final recommendation
Marking: problem formulation and method 20% · technical accuracy and working 30% · evidence and reproducibility 20% · interpretation and recommendation 20% · professional presentation 10%
75 minutes · Pass threshold 70% · contributes to readiness07
CA15.7 · Decision Theory
CA15-QA-07 · Decision Theory Under Risk
Compare alternatives using EMV/EOL or an uncertainty criterion, construct a decision tree where appropriate and evaluate the value of information.
Evidence: payoff analysis · decision criterion · recommendation
Mode: guided calculation · dataset ca15_decision_v1Assignment — Decision Theory Under Risk
Complete the quantitative-analysis practical as an examination-style assignment. Show formulas and working, justify the selected method, verify the result and give a concise business interpretation.
Deliverables: payoff analysis · decision criterion · recommendation · learner reflection · final recommendation
Marking: problem formulation and method 20% · technical accuracy and working 30% · evidence and reproducibility 20% · interpretation and recommendation 20% · professional presentation 10%
75 minutes · Pass threshold 70% · contributes to readinessEVIDENCE & READINESS
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Readiness is evidence-derived, not a completion badge. Reviewed practical scores and competency evidence feed this dashboard.
Decision Science
Evidence-based competency for the DatalytIQs practical preparation pathway.
No reviewed evidence yetForecasting
Evidence-based competency for the DatalytIQs practical preparation pathway.
No reviewed evidence yetQuantitative Methods
Evidence-based competency for the DatalytIQs practical preparation pathway.
No reviewed evidence yetStatistical Inference
Evidence-based competency for the DatalytIQs practical preparation pathway.
No reviewed evidence yetAn active paper enrolment is required before learner evidence is recorded.
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