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Quantitative Methods and Techniques

It is a subject area that includes various aspects of analysis regarding statistical, mathematical or it may be a numerical analysis of the data as well. This is usually done with the help of scientific methods and tools. Theories, hypothesis, models or experiments are all the part of the analysis. The data plays a very important role which is to be analysed and is collected through the survey, questionnaire, polls, etc.   

Importance of Quantitative Methods and Techniques in Academic Curriculum

The curriculum of this subject has been designed in a way that the student gets to clear his basics of quantitative methods, tools and technologies. They are made to learn about the quantitative methods in various domains like education or business applications. These help the students to work in the industries with more efficiency and they grasp the things at a quicker pace. This course helps them to learn about different techniques that prove to be helpful in solving various problems related to decision making in the field of management.

Why students seek advice in Quantitative Methods and Techniques

Students look for help in this area as they get stuck up in the mathematical jargons which are the included in most of the topics on the subject. Students find the mathematical and statistical models very tough and especially when it comes to their application in a variety of domains it poses a great problem for them. There are various software tools present in the market which the students are required to use to design the models, but they do not find time to explore new tools and software’s to work upon.

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Difficulties encountered in Quantitative Methods and Techniques

To name the few difficult topics of the domain of Quantitative Methods and Techniques one can start from Linear Programming, Probability, Decision Theory, Regression, Forecasting, Waiting Line Models, Social Statistics, The Elaboration Model, etc. These are some of the typical topics that involve a lot of mathematical equations due to which students feel get confused.

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