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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.
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Applications of quantitative technique in business?
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.
What means quantitative techniques?
Quantitative techniques are research and analysis methods applied to data that involve either quantifying observations numerically or characterising aspects of the data in numerical terms. For instance, socioeconomic status for a household could be crudely encoded as the total annual income for that household. An attempt could be made to establish a mathematical relationship between this status and years of education, as an example of quantitative analysis.
1 Explain the different types of research?
The basic types of research are as follows:• Descriptive vs. Analytical• Applied vs. Fundamental• Quantitative vs. Qualitative• Conceptual vs. Empirical
Assumptions to convert real life 3d beams for 2d analysis for BE degree?
The assumptions to convert real life 3D beams for 2D analysis for BE degree is usually applied in the construction of the modern malls.
What is the difference between Applied Mathematics and Computational Sciences?
Applied mathematics is a very general term and thus makes this question rather difficult to answer, as it can apply to almost anything where advanced mathematics is used in the study topic. For example: probability, statistics, financial analysis, mechanics, physics, discrete mathematics, graph theory, engineering, numerical analysis, and even cryptology, can all be described as applied mathematics.The one that has the most in common with computer science however is, to my knowledge, numerical analysis. numerical analysis looks at problems in continuous mathematics that can't be solved by conventional analytical methods, and looks at developing algorithms to then solve these problems.Computer science looks at the theory behind information and computation/programming, and applies it to every area, using programmes and software to solve all problems, instead of just the ones looked at by numerical analysis.
