
What is Quantitative data? and what is the difference between quantitative and qualitative data?
How to present quantitative data to help make business decisions.
The different types of data; Nominal, Ordinal & Cardinal data
Frequency distribution, percentage frequency distribution and cumulative frequency distribution
Preparing a frequency distribution
Preparing a percentage and cumulative frequency distribution
Pie charts, and how to prepare Pie charts using Excel
Bar chats, and how to prepare Bar chats in Excel
How to present continuous data in diagrams; histograms
Another way of presenting Continuous data; Ogive
Measures of location & measures of spread
Mean & calculation of mean, including for grouped (class) data
Median & calculation of median for ungrouped data
Calculation of median for grouped data
Mode & calculation of mode for ungrouped & grouped data
Advantages & disadvantages of mean
Advantages & disadvantages of median
Advantages & disadvantages of mode
Range & how to calculate range
Inter-quartile range & how to calculate for ungrouped data
Inter-quartile range & how to calculate for grouped data
Graphical explanation of range & inter-quartile range
Introduction to MAD
MAD calculation for ungrouped data
MAD calculation for grouped data
Introduction to variance and standard deviation
Calculation of variance & standard deviation for ungrouped data
Calculation of variance and standard deviation for grouped data
Skewness; symmetrical, positive & negative skewness
This course is about the descriptive tools and approaches used in quantitative methods in business. The course is aimed at anyone of the following groups.
Bachelor's taking course on ‘Quantitative Methods’ or ‘Quantitative Methods in Business’ (200 to 300 level courses);
Professional examinations offering similar courses in Quantitative Methods, including CIMA BA1 and CFA Level 1;
Business managers; and
Anyone interested in learning Quantitative Methods
The descriptive tools and approaches covered in this course are absolutely essential for anyone pursuing further studies in quantitative methods and students will gain a good understanding of these concepts and their application in a business context. These descriptive tools and approaches taught in this course are also of value to business managers as these are often used in day-to-day business decision making.
Furthermore, the descriptive tools and approaches are explained using Excel/Spreadsheets, and therefore this course is of much practical value to students and business managers alike.
The courses cover the following topics:
Section 1 - Introduction to quantitative methods
What is quantitative data?
Quantitative methods and business decision making
Presentation of quantitative data
Section 2 - Descriptive tool and approaches
- Diagrams
Frequency distribution and grouped data
Bar charts and pie charts
Historgram and ogive
(Section 1 & 2 relevant for CIMA BA1 - C. Informational Context of Business (Learning Outcome 1)
Section 3 - Measure of location
Mean for ungrouped and grouped data
Median for ungrouped and grouped data
Mode for ungrouped and grouped data
Comparison of mean, median and mode
Section 4 - Measure of spread
Range
Inter-quartile range for ungrouped and grouped data
Mean absolute deviation for ungrouped and grouped data
Variance and standard deviation for ungrouped and grouped data
Skewness
(Section 3 & 4 relevant for CFA Level 1 Quantitative Methods - Descriptive Statistics)
The lecture videos include a comprehensive explanation of the concepts and calculation of the descriptive tools and approaches using Excel for business examples. In addition, students taking this course will receive downloadable power point presentations of the topics covered.