The syllabus of Quantitative Techniques for Management course offered by Department of Management of BIT, Mesra, Ranchi (Jharkhand) on which the question paper is based is as follows:

Module 1
Introduction
Statistics – Definition, Importance and Scope in Managerial Decision Making , Collection of Data - Primary Data and Secondary Data, Presentation of Data - Classification and Tabulation of Data, Pie Diagrams, Histograms, Frequency Polygons, Ogives, Application of Diagrams and Graphs.

Module 2
Measures of Central Tendency
Arithmetic Mean, Geometric Mean and Harmonic Mean, Median and Mode, Quartiles and Percentiles.
Measures of Variation
Concepts, Range, Mean Deviation, Standard Deviation, Coefficient of Variation.

Module 3
Correlation and Regression
Concepts, Scatter Diagram, Coefficient of Correlation - Karl Pearson’s and Spearman’s Rank Correlation, Regression Analysis - Regression Lines and Regression Coefficient.
Business Forecasting
Methods of Forecasting, Time Series Analysis: Components of Time Series,

Module 4
Index Numbers
Concepts and Applications, Unweighted Index Numbers, Weighted Index Numbers, Consumer Price Index Numbers.

Module 5
Probability
Concepts, Addition Law, Multiplication Law, Conditional Probability and Bayes’ Theorem, Normal Distribution.

Estimation of Parameters
Point and Interval Estimation, Confidence Limits for Population Mean, Proportion, Difference of Means and Proportions.

Module 6
Sampling and Sampling Distribution
Concepts, Random Sampling and Non Random Sampling, Sampling Distribution – Central Limit Theorem, Sampling Distribution of the Mean, Proportions, Difference of Means and Proportions.

Module 7
Test of Hypothesis
Type I and Type II Errors, One Tailed and Two Tailed Test, Ch i Square Test, Analysis of Variances - ANOVA tables, One-Way Classification, Statistical Quality Control Charts

Minimum 5 cases to be discussed