About the University:

Gujarat technological university is one of the most renowned and reputed technological university in India. Along with various technological and professional bachelor programs, the university also offers MBA degrees to the deserving and the desiring candidates.

About the subject:

Quantitative analysis basically includes topics which are based on the deep and in depth study of problems. Basically the subject deals with the new approaches made in order to solve a problem with the help of mathematical and analytical methods. They subjects deals with questions and problems about measurement, evaluation of financial instruments, performance evaluation etc.

Syllabus:

The syllabus of Gujarat Technological University MBA 1st Sem Quantitative Analysis Paper includes topics like Introduction to Statistics, Statistics in Business, Data Measurement, Charts and Graphs Descriptive Statistics, Measure of central tendency, measure of variability, for Group and ungrouped data, Measures of shape, measures of association and descriptive statistics on the computer. Introduction to probability, Structure of probability, Results of probability, Revision of probability: BAYES’ RULE and examples Random variable and probability distribution, Discrete and Continuous distribution,Expected value and variance of a distribution. Software exposure to the above concepts – (by use of EXCEL or any other available software)Uniform distribution, Hyper-Geometric distribution,Binomial distribution, Poisson distribution and their relationship, Cases form the text book Continuous distribution, Uniform distribution, Normal distribution, Exponential distribution, Cases form  the text book Sampling and Sampling distribution Statistical Inference: Estimation for Single Populations  Hypothesis Testing for Single Populations- Mean, Proportion and  Variance, Cases form the text bookStatistical Inferences about  Two Populations- Mean, Proportion and  Variance , Cases form the text bookDesign of Experiments and Analysis of Variance ( Only one way) , Cases form the text book Goodness-Of-Fit-Test, Cases form the text book Test of Independence, Cases form the text book Simple regression Analysis , Cases form the text book Multiple Regression Analysis, Cases form the text book, Use of Software in Multiple Regression, Building  Multiple Regression Models, Different types of models,MulticollinearityTime-Series Forecasting and Index Numbers DecisionAnalysis: Decision Making Under Certainty, Uncertainty, Risk, Revision of probabilities, Expected value from Sample Information. Cases form the text book. Review, Feedback and Integrated Examples and Cases

Recommended books:

Few books that can be helpful for one in order to prepare for the semester I of MBA in Gujarat technological University for the subject quantitative analysis are:

Statistics for managers buy D.P.Apte
Business Statistics for Contemporary Decision Making by Ken Black
Business Statistics by J.K. Sharma
Quantitative Technique by C. R. Kothari
Quantitative Methods for Business by Anderson, Sweeney, Wiliamy
And many more.

Paper patterns:

The question paper has questions from various parts of the syllabus. The problems are all such that requires high application of quantitative aptitude. The question paper has all together 5 questions and all of them are to be answered. Every question is divided in to two parts. Every question has numbers in bracket on the extreme right side of the paper signifying the marks for that question. The questions are provided with internal choices. This means that question paper will have two question number 5 or two question number 4. Out of that given two, any one will have to be answered in form of question 4 or 5.

Total marks and total time allotted:

The paper carries a total of 70 marks for 5 questions. The time given for these 5 questions is 2 and a half hour. The examination generally starts from 12 to 2.30 pm.

Download Gujarat Technological University, MBA, 1st Sem., Quantitative Analysis Papers

• Download Gujarat Technological University, MBA, 1st Sem., Quantitative Analysis Question Paper 1
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