QUANTITATIVE ANALYSIS
| Institution | UNIVERSITY |
| Course | CPA |
| Year | 1st Year |
| Semester | Unknown |
| Posted By | Brian Mike |
| File Type | |
| Pages | 367 Pages |
| File Size | 8.22 MB |
| Views | 963 |
| Downloads | 1 |
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Description
A graph is a visual method of illustrating the behaviour of a particular function. It is easy to see from a graph how as x changes, the value of f(x) is changing. The graph is thus much easier to understand and interpret than a table of values. For example by looking at a graph we can tell whether f(x) is increasing or decreasing as x increases or decreases. We can also tell whether the rate of change is slow or fast. Maximum and minimum values of the function can be seen at a glance. For particular values of x, it is easy to read the values of f(x) and vice versa i.e. graphs can be used for estimation purposes
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CIFA/CPA Quantitative Analysis Notes Foundation Level
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the purpose of these Quantitative analysis notes is to equip the student with knowledge and skills that will enable him or her use quantitative analysis tools in business operations and decision making
367 Pages
3031 Views
7 Downloads
8.22 MB
CIFA/CPA;Quantitative Analysis Revision Q&A Foundation Level
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The purpose of this Quantitative Analysis Q&A is to equip the student with knowledge and skills on how to prepare for his or her Quantitative analysis exam paper
507 Pages
2201 Views
3 Downloads
4.62 MB
Quantitative Analysis
This paper is intended to equip the candidate with knowledge, skills and attitudes that will enable him/her to use quantitative analysis tools in business ...
366 Pages
428 Views
1 Downloads
2.67 MB
QUANTITATIVE ANALYSIS NOTES
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2 Pages
1732 Views
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DMS 501: BUSINESS QUANTITATIVE ANALYSIS PAST PAPER
Institution:
Year: 2016/2017
Semester: 1st Year, 2nd Semester (1.2)
DMS 501: BUSINESS QUANTITATIVE ANALYSIS PAST PAPER
Institution:
Year: 2016/2017
Semester: 2nd Year, 2nd Semester (2.2)
BUS 800: QUANTITATIVE ANALYSIS
This course will introduce you to some fundamental aspects of Quantitative
Analysis, set theory; basic concepts in probability; probability distributions;
decision theory; forecasting models and techniques, linear programming (graphs
and simplex methods); introduction to operations research; network models,
simulation, Game Theory, Project Management, Inventory Control, Sequencing,
Modelling in OR and Cases for OR Analysis
352 Pages
261 Views
0 Downloads
2.42 MB