18MBA14 Bu siness Statistics & Analyti cs syllabus for MBA


Unit-1 Introduction to Statistics 0 hours

Introduction to Statistics:Meaning and Definition, functions, scope and limitations, Collection and presentation of data, frequency distribution, measures of central tendency - Mean, Median, Mode, Geometric mean, Harmonic mean.

Measures of dispersion:Range – Quartile Deviation – Mean Deviation - Standard Deviation – Variance-Coefficient of Variance - Comparison of various measures of Dispersion.

Unit-1 Introduction to Statistics 0 hours

Introduction to Statistics:Meaning and Definition, functions, scope and limitations, Collection and presentation of data, frequency distribution, measures of central tendency - Mean, Median, Mode, Geometric mean, Harmonic mean.

Measures of dispersion:Range – Quartile Deviation – Mean Deviation - Standard Deviation – Variance-Coefficient of Variance - Comparison of various measures of Dispersion.

Unit-2 Correlation and Regression 0 hours

Correlation and Regression:Scatter Diagram, Karl Pearson correlation, Spearman’s Rank correlation(one way table only), simple and multiple regression(problems on simple regression only).

Unit-3 Probability Distribution 0 hours

Probability Distribution:Concept and definition - Rules of probability – Random variables – Concept of probability distribution – Theoretical probability distributions: Binomial, Poisson, Normal and Exponential – Baye’s theorem (No derivation) (Problems only on Binomial, Poisson and Normal).

Unit-4 Time Series Analysis 0 hours

Time Series Analysis:Introduction - Objectives Of Studying Time Series Analysis - Variations In Time Series - Methods Of Estimating Trend: Freehand Method - Moving Average Method - Semi-Average Method - Least Square Method. Methods of Estimating Seasonal Index: Method Of Simple Averages - Ratio To Trend Method - Ratio To Moving Average Method.

Unit-5 Linear Programming 0 hours

Linear Programming:structure, advantages, disadvantages, formulation of LPP, solution using Graphical method. Transportation problem: basic feasible solution using NWCM, LCM, and VAM unbalanced, restricted and maximization problems.

Unit-6 Project Management 0 hours

Project Management:Introduction – Basic difference between PERT & CPM – Network components and precedence relationships – Critical path analysis – Project scheduling – Project time-cost trade off – Resource allocation, Concept of project crashing.

PRACTICAL COMPONENT :( Student-Centered Learning)

  • Students are expected to have a basic excel classes.
  • Students should be able to relate the concepts which can highly enhance an application scenario in your profession.
  • Student should demonstrate the application of the techniques covered in this course.

Last Updated: Tuesday, January 24, 2023