Indicative Content |
Data Collection (10%)
• Uses of data
• Nature of data – qualitative, quantitative
• Categories of data
• Sources of data – primary, secondary
• Data collection – questionnaires
|
Sampling (20%)
• Random sampling
• Systematic sampling
• Multistage sampling
• Stratified sampling
• Cluster sampling
|
Data Analysis (20%)
• Organising numerical data
• Data presentation in tables and charts
• Graphs
|
Numerical Descriptive Measures I (30%)
• Numerical data
• Measures of central tendency – grouped and ungrouped data
• Measures of dispersion – grouped and ungrouped data
• Coefficient of variation
|
Numerical Descriptive Measures II (20%)
• Calculation of correlation coefficient
• Interpretation of correlation coefficient
• Simple linear regression
• Multiple regression
• Interpretation of regression results
|
Teaching methodology:
This module will be taught using a combination of: lectures; tutorials throughout the semester. These may include: group activities and or case studies.
|
Recommended Book Resources |
---|
-
David M. Levine, Timothy C. Krehbiel, Mark L. Berenson.. Business Statistics: A First Course, 5th ed. Prentice Hall.
|
Supplementary Book Resources |
---|
-
Mark L Berenson, David M. Levine, Timothy C. Krehbiel. ,. Basic Business Statistics, 11th ed. Prentice Hall.
-
, Andrea Francis. Business Maths & Statistics, 5th ed. Letts Educational, : London,.
-
Donald Waters. Quantitative Methods for Business, 4th ed. Prentice Hall.
-
Sarah Boslaugh, Dr. Paul Andrew Watters.. Statistics in a Nutshell: A Desktop Quick Reference, 1st ed. O'Reilly Media.
|
This module does not have any article/paper resources |
---|
This module does not have any other resources |
---|