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QT are mathematical & statistical methods used to analyze and interpret large amount of data in a systematical & objective manner. They play a crucial role in modern business decision making. The nature of Q.T in business tools that allow managers to optimize outcomes with limited resources.

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Tamuka Lea

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1y ago
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Kathi Kahi

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1y ago
What. HeLP.
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Wiki User

10y ago

Scope of quantative techniques

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Q: Nature and scope of quantitative technique?
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What is a list of the roles of quantitative technique in business?

The quantitative technique in business is used to analyze quantitative data to enable the professionals make well informed decisions.


What is the Importance of quantitative techniques in geography?

significance of quantitative technique in Geography


Advantage of quantitative technique over qualitative technique?

In Quantitative technique, the researcher's aim is to classify data in graphs, tables, or texts (Others use statistics in doing this) The variables needed in the study are carefully designed. In gathering data, a researcher may use questionnaires, interview method, or survey. This technique is effective especially in testing hypotheses.


What is a quantitative EEG?

An extension of the EEG technique, called quantitative EEG (qEEG), involves manipulating the EEG signals with a computer using the fast Fourier transform algorithm.


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.