Quantitative Techniques For Managers

                                                                                                                                                          Syllabus

                                                                                                   20MBA103: 

Module-1

Introduction to Statistics: Meaning and Definition, functions, scope and limitations. Descriptive Statistics: Collection and presentation of data: Methods of data collection, Data presentation using tables & charts, Frequency distribution.

Measures of Central Tendency: Mean, Median, Mode. Measures of dispersion - Range, Quartile Deviation, Mean Deviation, Standard Deviation. Absolute & relative measures, Measures of Variation :Range, Inter-quartile range, Mean Deviation, Standard deviation and variance.

Module-2

Probability: Concept of probability and its uses in business decision-making; Random Variables: Random experiment – outcomes – sample space and events – definitions of probability (classical, relative frequency, subjective, and axiomatic) – addition rule –  conditional probability – multiplication theorem – Bayes’ theorem.

Module-3

Introduction to sampling distributions, Sampling distribution of mean and proportion, Sampling techniques, Sampling Errors, Sampling Distribution of mean and proportion

Hypothesis Testing: Formulation of Hypotheses; Application of Z-test, t-test, F-test.

Module-4

Chi-Square test for several proportions, association of attributes – goodness of fit test

One way & two way ANOVA for testing the difference of means of more than two samples.

Time Series Analysis: Components of Time Series, Techniques of measuring seasonal variations – Simple Average Method, Moving Averages Method. Least Square Method of Trend Analysis, Applications of Time Series in Business Forecasting.

Module-5

Correlation Analysis: Types of Correlation, Methods of Studying Correlation: Karl Pearson’s correlation coefficient – Spearman’s Rank correlation coefficient – Concurrent deviation method.

Regression Analysis: Regression lines, Regression equations, Coefficient of Determination & Estimation (Theory Only). Multiple Regression (Theory Only)