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Paper 05: Quantitative Analysis*

About Course
The Professional courses are administered at Foundation, Intermediate and Advanced Levels. Each level requires an average of one year, though candidates are advised to provide for an additional one year to meet requirements for internship/ practical experience.
A student must book for a minimum of three papers in a level in any order unless is exempted or has credits.
Prior to certification, candidates will be required to:
- Attend workshops on ethics, soft skills and emerging issues organised by kasneb and ICPAK and earn IPD hours.
- Obtain 1-Year practical experience, or alternatively attend workshops on work based simulation organised by kasneb and ICPAK.
This course is aimed at persons who wish to qualify and work or practice as professional accountants, auditors, finance managers, tax managers and consultants in related areas in both public and private sectors.
Course Content
SEPT – DEC 2025 CLASS RECORDINGS
MAY TO AUGUST 2025 CLASS RECORDINGS
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AUGUST 1ST
01:49:08 -
AUGUST 3RD
01:46:05 -
AUGUST 4TH
02:15:00 -
AUGUST 6TH
01:56:19 -
AUGUST 8TH
02:12:49 -
AUGUST 10TH
02:14:02 -
AUGUST 11TH
02:17:50 -
AUGUST 13TH
02:14:44
JAN – APR 2025 CLASS RECORDINGS
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FEB 7TH
01:52:00 -
FEB 8TH
01:42:00 -
FEB 15TH
50:00 -
FEB 21ST
47:00 -
FEB 22ND
01:15:00 -
FEB 28TH
01:29:00 -
MAR 14TH
01:03:00 -
MAR 21ST
01:00:00
April August 2024
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Class 1
02:00:00 -
Class 2
02:00:00 -
Class 3
02:00:00 -
Class 4
02:00:00 -
CLASS 5
02:00:00 -
Class 6
02:00:00 -
Class 7
02:00:00 -
Class 8
02:00:00 -
Class 9
02:00:00 -
Class 10
02:00:00 -
Class 11
02:00:00
online class link
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online class link
00:00
Overview
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class link
Week 1,2,3,4 Topic 1. Mathematical Techniques
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Class recording 12.05.2023
02:00:00 -
Class recording 13.05.2023
00:00 -
Class recording 19.05.2023
02:00:00 -
Class recording 20.05.2023
01:00:00 -
class recording 26.05.2023
02:00:00 -
Class recording 27.05.2023
02:00:00 -
Class recording 2.06.2023
02:00:00 -
class recording 03.06.2023
01:50:00 -
Class recording 09.06.2023
02:00:00 -
Class recording 10.06.2023
02:00:00 -
class recording 16.06.2023
02:00:00 -
class recording 17.06.2023
02:00:00 -
1.1 Functions
00:00 -
1.2 Functions ( part 2)
00:00 -
1.3 Functions ( part 3)
00:00 -
2.1 Matrix Algebra
00:00 -
2.2 Matrix Algebra (part 2)
00:00 -
2.3 Matrix Algebra (part 3)
00:00 -
3.1 Calculus
00:00 -
3.2 Calculus ( part 2)
00:00 -
3.3 Calculus (part 3)
00:00 -
4.1 Descriptive Statistics
00:00 -
4.2 Descriptive Statistics (part 2)
00:00 -
4.3 Descriptive Statistics (part 3)
00:00 -
CAT 1
Week 5 Topic 4. Correlation and Regression Analysis
4.1 Correlation Analysis
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00:00
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Objectives
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class recording 24.06.2023
02:00:00 -
class recording 23.06.2023
02:00:00
Week 6 Topic 5. Regression Analysis
5.1.1 Simple and multiple linear regression analysis
5.1.2 Assumptions of linear regression analysis
5.1.3 Coefficient of determination, standard error of the estimate, standard error of the slope, t and F statistics
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00:00
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class recording 30.06.2023
02:00:00 -
class recording 1.07.2023
00:00 -
class recording 07.07.2023
02:00:00
Week 7 Topic 6. Time series
6.1 Definition of time series
6.2 Components of time series (circular, seasonal, cyclical, irregular/ random, trend)
6.3 Application of time series
6.4 Methods of fitting trend; freehand, semi-averages, moving averages, least-squares methods
6.5 Models - additive and multiplicative models
6.6 Measurement of seasonal variation using additive and multiplicative models
6.7 Forecasting time series value using moving averages, ordinary least squares method and exponential smoothing
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class recording 28.07.2023
02:00:00 -
class recording 29.07.2023
02:00:00 -
part 1
00:00 -
part 2
00:00
Week 8,9 Topic 7. Linear programming
7.1 Definition of decision variables, objective function and constraints
7.2 Assumptions of linear programming
7.3 Solving linear programming using graphical method
7.4 Solving linear programming using simplex method (basic scenarios)
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part 1
00:00 -
part 2
00:00
Week 10,11 Topic 8 Decision Theory
8.1 Definition
8.2 Decision-making process
8.3 Decision-making environment; deterministic situation (certainty)
8.4 Decision making under risk - expected monetary value, expected opportunity loss, risk using the coefficient of variation, the expected value of perfect information
8.5 Decision trees - sequential decision, the expected value of sample information
8.6 Decision making under uncertainty - maximin, maximax, minimax regret, Hurwicz decision rule, Laplace decision rule.
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part 1
00:00 -
part 2
00:00
Week 12 Topic 2. Probability
2.1 Set Theory
2.2 Definition
2.3 Types of sets
2.4 Set description; enumeration and descriptive properties of sets
2.5 Venn diagrams (order - Venn diagrams precede operation of sets)
2.6 Operations of sets; union, intersection, complement and difference
2.7 Probability Theory and Distribution
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part 1
00:00 -
part 2
00:00 -
class recording 08.07.2023
02:00:00 -
class recording 14.07.2023
02:00:00 -
class recording 21.07.2023
02:00:00 -
class recording 22.07.2023
02:00:00
Week 13 Topic 3. Hypothesis Testing and Estimation
3.1 The arithmetic mean and standard deviation
3.2 Hypothesis tests on the mean (when population standard deviation is unknown)
3.3 Hypothesis tests on proportions
3.4 Hypothesis tests on the difference between two proportions using Z and t statistics
3.5 Chi-Square tests of goodness of fit and independence
3.6 Hypothesis testing using R statistical software
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part 1
00:00 -
part 2
00:00
past paper
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past paper
revision sessions
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overview April 2023 sitting Part 1
02:00:00 -
overview April 2023 sitting Part 2
02:00:00 -
class recording 12.08.2023
02:00:00 -
class recording 18.08.2023
02:00:00 -
class recording 19.08.2023 revision
02:00:00 -
class recording 12.08.2023
02:00:00
Past sessions
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class recording 15.09.2023
02:00:00 -
class recording 22.09.2023
02:00:00 -
class recording 23.09.2023
00:00 -
class recording 29.09.2023
02:00:00 -
Class recording 30.09.2023
02:00:00 -
class recording 06.10.2023
02:00:00 -
class recording 13.10.2023
02:00:00 -
class recording 14.10.2023
02:00:00 -
class recording 21.10.2023
02:00:00 -
class recording 27.08.2023
02:00:00 -
class recording 03.11.2023
02:00:00 -
class recording 04.11.2023
04:00:00 -
class recording 10.11.2023
02:00:00 -
class recording 13.11.2023
02:00:00 -
class recording 17.11.2023
02:00:00
Class recordings- Sept-Dec 2024
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13th Sept
00:00 -
14th Sept
00:00 -
21st Sept
00:00 -
11/10/2024
00:00 -
12/10/2024
00:00 -
18/10/2024
00:00 -
19/10/2024
00:00 -
25/10/2024
00:00 -
26/10/2024
00:00
Past paper
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Past paper
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