# Quantitative techniques notes pdf Quantitative techniques notes pdf outline and the notes in pdf highlighted here. Quantitative techniques unit is examinable by Kenya national examination council KNEC and is mainly taught in various courses highlighted below;

• Diploma in supply chain management
• Diploma in human resource management
• Diploma in information science
• Diploma in entrepreneurship

QUANTITATIVE TECHNIQUES UNIT: Trainees studying this unit introduces students to the quantitative and qualitative analysis of large bodies of marketing data and to the manipulation of this data to achieve desired objectives. Topics include quantitative analysis, statistical inference, and the application of database technology to marketing.

QUANTITATIVE TECHNIQUES TOPICS COVERED

1. Introduction to quantitative techniques
2. Correlation and regression
3. Linear programming
4. Matrices
5. Index numbers
6. Time series
7. Network analysis
8. Introduction to calculus
9. Inventory control models
10. Financial mathematics
11. Probability and probability distributions
12. Test of hypothesis
13. Emerging trends and issues in quantitative techniques

Introduction to quantitative techniques

This topic trainees will be able to learn; introduction to quantitative techniques; Meaning, Importance applications and Limitations of statistics. Primary vs Secondary Data and their collection methods, Different graphs and their examples. Classification of data, types of data/series etc.

Correlation and regression

This topic trainees will be able to learn; The most commonly used techniques for investigating the relationship between two quantitative variables are correlation and linear regression. Correlation quantifies the strength of the linear relationship between a pair of variables, whereas regression expresses the relationship in the form of an equation.

Linear programming

This topic trainees will be able to learn; Linear programming which is an optimization technique for a system of linear constraints and a linear objective function. An objective function defines the quantity to be optimized, and the goal of linear programming is to find the values of the variables that maximize or minimize the objective function.

Matrices

This topic trainees will be able to learn, Matrix which is a set of ‘m × n’ numbers arranged in the form of rectangular array having ‘m’ rows and ‘n’ columns. It is called an m x n matrix. Matrices play an important role in modern techniques of quantitative analysis of managerial decisions.

Index numbers

This topic trainees will be able to learn, Index numbers which is not an absolute measure, it measures the percentage change in a variable over time. It does so by comparing the value of a variable at present to its value at a base year. Index number gives a quantitative foundation to qualitative statements like prices are falling or rising.

Time series

This topic trainees will be able to learn, Definition of time series, objectives of time series analysis, components of a time series, computation of time series components and decomposition of a time series.

Network analysis

This topic trainees will be able to learn, Network analysis which is the general name given to certain specific techniques which can be usedfor the planning, management and control of projectsActivity. Any individual operation, which utilizes resources and has an end and a beginning, is called. activity.

Introduction to calculus

This topic trainees will be able to learn, definition of calculus, differentiation of simple functions, integration of simple functions and application of calculus

Inventory control models

This topic trainees will be able to learn, definition of basic terms used in inventory control, inventory control limits, minimization of cost of inventories and inventory control models.

Financial mathematics

This topic trainees will be able to learn, Definition of terms used in financial mathematics, present and future values and annuities and perpetuities.

Probability and probability distributions

This topic trainees will be able to learn, distribution, definition of basic terms used in probability, basic concepts of probability, laws of probability, probability distributions and application of basic probability distribution functions.

Test of hypothesis

This topic trainees will be able to learn, definition of hypothesis, types of hypothesis, type 1 and type 2 errors, critical and acceptance regions and z-test and T-test.

Emerging trends and issues in quantitative techniques

This topic trainees will be able to learn, emerging issues and trends in quantitative techniques, challenges posed emerging issues and trends in QT and coping with challenges posed emerging trends and issues in QT.

QUANTITATIVE TECHNIQUE NOTES (QT PDF) For short simplified and comprehensive notes examined by KNEC contact your business department or QT lecturer.

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