There are very many ways of analysing data and it is not possible to list them all. Furthermore, most techniques are appropriate only in certain circumstances and so the question needs to be more specific before it can be answered.
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A. Quantitative Techniques with reference to time series analysis in business expansion. B. Quantitative techniques are mathematical and reproducible. Regression analysis is an example of one such technique. Statistical analysis is also an example of a quantitative technique. C. Quantitative techniques are applied for business analysis to optimize decision making IE profit maximization and cost minimization). It covers linear programming models and other special algorithms, inventory and production models; decision making process under certainty, uncertainty and risk; decision tree construction and analysis; network models; PERT and CPA business forecasting models; and computer application.
A. Quantitative Techniques with reference to time series analysis in business expansion. B. Quantitative techniques are mathematical and reproducible. Regression analysis is an example of one such technique. Statistical analysis is also an example of a quantitative technique. C. Quantitative techniques are applied for business analysis to optimize decision making IE profit maximization and cost minimization). It covers linear programming models and other special algorithms, inventory and production models; decision making process under certainty, uncertainty and risk; decision tree construction and analysis; network models; PERT and CPA business forecasting models; and computer application.
An analysis shows that the risk of loss is less than the cost of examining every voucher at the approved threshold.
following are the limitation of QT techniques 1 inherent limitations concerning mathematical expressions 2 high cost are involved in using quantitative techniques 3 QT does not take in to consideration the intangible factors example non- measurable of human resources 4 QT are just tool of analysis and not the complete decision making process
The main aspect of the job is to analyze and compile data you have at hand in other words they calculate how much materials needed for a specific job, as well as cost, they make really good money too!!!