Quantitative Methods for Management_MBA_Bharathiar University
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Data Analysis – Uni-Variate – ungrouped and grouped data measures of central Tendencies, measures of dispersion – C V percentages (problem related to business applications). Bivariate – correlation and regression – problems related to business applications.
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Discuss the complexity of problem definition and the importance of a.pdf
Discuss the complexity of problem definition and the importance of accurate data to successfully
apply quantitaive analysis in management.
Solution
The quantitative methods contain two component parts, the quantitative and method, with
asymmetrical attention to the quantitative term.
Speaking about method, interest is focused upon the so- called Scientific Method. Science is the
mastering of things of the real world, by knowledge about the truth. The term method drives to
dialogue on methodology in science which is clouded, as the phrase scientific method is used in
two different ways. The one is very general, as a process of improving understanding. Although
vague, it is considered as a powerful definition, since it leaves room for criticizing dogmatic
clinging to beliefs and prejudices, or appreciating careful and systematic reasoning about
empirical evidence. The other is the traditional sense, and supports that there is a unique standard
method, which is central to identity of the science. In effect, scientific progress requires many
methods, so there is not a unique standard method, though taught as a straightforward testing
hypotheses derived from theories in order to test those theories. The more acceptable definition
of scientific method is a process by which scientists, collectively and over time, endeavour to
construct an accurate (that is reliable, consistent and non-arbitrary) representation of the real
world. The popular hypothetic-deductive standard method is excluding consideration of the
process of discovery in science. Rather, research is defined as a penetrating process of learning
and understanding the substance of actual things and facts, by use of different methods. The
research process incorporates formulation of a research issue and construction of a conceptual
framework, by using all available information sources.
The quantitative methods have a number of attributes, such as: they employ measurable data to
reach comparable and useful results, assume alternative plans for achieving objectives, plan data,
concerning observations collection, configuration and elaboration by statistical and econometric
stochastic methods, check data reliability, choose appropriate sampling method, use carefully the
estimates of the parameters for forecasting and planning purposes, etc. since they derive from ex-
post data concerning past.
In an increasingly complex business environment managers have to grapple with a problems and
issues which range from the relatively trivial to the strategic. In such an environment the
quantitative techniques have an important role. It is obvious that life for any manager in any
organization is becoming increasingly difficult and complex. Although there are many factors
contributing to this, figure 1 illustrates some of the major pressures making decision making
increasingly problematic. Organizations find them selves operating in an increasingly complex
environment. Changes in government policy, privatiz.
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The quantitative methods contain two component parts, the quantitative and method, with
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Speaking about method, interest is focused upon the so- called Scientific Method. Science is the
mastering of things of the real world, by knowledge about the truth. The term method drives to
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framework, by using all available information sources.
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concerning observations collection, configuration and elaboration by statistical and econometric
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- Descriptive statistics describe the properties of sample and population data through metrics like mean, median, mode, variance, and standard deviation. Inferential statistics use those properties to test hypotheses and draw conclusions about large groups.
- Descriptive statistics focus on central tendency, variability, and distribution of data. Inferential statistics allow statisticians to draw conclusions about populations based on samples and determine the reliability of those conclusions.
- Statistics rely on variables, which are characteristics or attributes that can be measured and analyzed. Variables can be qualitative like gender or quantitative like mileage, and quantitative variables can be discrete like test scores or continuous like height.
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The document appears to be a statistics assignment submitted by a student analyzing daily stock price data of SBI, ICICI and HDFC banks from January 2012 to October 2012.
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Quantitative Methods for Management_MBA_Bharathiar University probability dis...
Quantitative Methods for Management_MBA_Bharathiar University probability distribution
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Quantitative Methods for Management_MBA_Bharathiar University probability dis...
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Quantitative Methods for Management_MBA_Bharathiar University
This document outlines the syllabus for a Quantitative Methods for Management course. The syllabus covers 5 units: (1) functions, mathematical models, differentiation, integration and optimization; (2) univariate and bivariate data analysis; (3) probability distributions and expected value; (4) index numbers and time series analysis; (5) hypothesis testing. 80% of exam questions will be problems and 20% will be theory-based. Key concepts covered include linear and nonlinear functions, mathematical modeling, differentiation, integration, probability distributions, hypothesis testing and index numbers. References for the course are also provided.
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The document provides an introduction to operations research. It discusses that operations research is a systematic approach to decision-making and problem-solving that uses techniques like statistics, mathematics, and modeling to arrive at optimal solutions. It also briefly outlines some primary tools used in operations research like statistics, game theory, and probability theory. The document then gives a short history of operations research, noting that it originated in the UK during World War II to analyze problems like radar systems. It concludes with discussing the scope and applications of operations research in fields like management, regulation, and economics.
Normal distribution
The document discusses confidence intervals and the normal distribution. It was written by D Victorseelan, an assistant professor at Nehru College of Management. The document mentions the normal distribution but does not provide any further details about confidence intervals or the normal distribution.
Basic statistics
This document provides an introduction to statistics, covering topics such as data, measures of central tendency including weighted mean, measures of spread including mean deviation and standard deviation, comparing data using scatter plots and correlation coefficients. It is authored by D Victorseelan from Nehru College of Management.
basic concepts of probability
This document discusses key concepts in probability including what probability is, formulas, probability lines, relative frequency, types of events such as independent, dependent, and mutually exclusive events. It also covers combinations, permutations, and Bayes' theorem. The document provides an overview of fundamental probability topics and concepts.
QUANTITATIVE TECHNIQUES QUESTION PAPER Mba apl 14
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QUANTITATIVE TECHNIQUES QUESTION PAPER Mba apl 13
The document discusses the importance of diversity and inclusion in the workplace. It notes that a diverse workforce leads to better problem solving and decision making by bringing in a variety of perspectives. The document encourages organizations to promote diversity and inclusion through their policies and culture to gain competitive advantages and help all employees feel valued.
QUANTITATIVE TECHNIQUES QUESTION PAPER
The document outlines the key steps and requirements to apply for a passport in the United States, including completing an application, providing identification documents, paying applicable fees, and submitting materials in person or by mail. Applicants must be U.S. citizens or nationals and passports are generally processed within 6-8 weeks though expedited service is available for urgent travel. The passport serves as proof of U.S. citizenship and helps facilitate international travel.
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001 lpp introduction
Linear programming is a mathematical modeling technique used to allocate limited resources to maximize an objective. It involves defining decision variables, constraints, and an objective function in a linear relationship. Some key applications of linear programming include production planning, portfolio selection, and transportation problems. The simplex method is commonly used to solve linear programming problems and find an optimal feasible solution. Duality relates a primal linear program to its dual program. Sensitivity analysis examines how changes to parameters like costs or capacities impact the optimal solution.
VICTOR- sep-2014 nehru resume
D.Victorseelan has nearly 5 years of experience teaching statistics at the undergraduate and postgraduate levels. He holds an M.Sc. and M.Phil. in Statistics and has worked as a lecturer, assistant professor, and statistical investigator. He is proficient in statistical software packages like SAS and SPSS and programming languages like C and C++.
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