ADVANCED BUSINESS STATISTICS

Paper Code: 
ATG 316
Credits: 
3
Contact Hours: 
45.00
Max. Marks: 
100.00
Objective: 

Course Outcomes

Learning and teaching strategies

Assessment Strategies

 
 

On completion of this course, the students will be able to:

CO109: Students will Interpolate and extrapolate the data

CO110: Categorize discrete and continuous probability distributions to various business problems

CO111: Select test of Hypothesis as well as calculate confidence interval for a population parameter for single sample and two sample cases

CO112: Consider Chi-Square test for Independence as well as Goodness of Fit and ANOVA

CO113:Critically evaluate statistical results

 

Interactive Lectures, Discussion, Tutorials, assignments.

 

Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments,  individual projects

 

 

10.00
Unit I: 
UNIT 1

Set Theory: Definition of Set, Presentation of Sets, Different types of Set- Null Set, Finite and Infinite Sets, Universal Set, Sub Set, Power Set. Set Operations, Laws of Algebra of sets, Venn Diagram.

 

Interpolation & Extrapolation: Newton’s methods of advancing differences, Binominal Method & Lagrange’s Method

14.00
Unit II: 
UNIT II

Concept of Permutation and Combinations

Probability- Basic Concepts, Importance of Concept of Probability, Theorem of Probability (Additional Theorem and Multiplication Theorem), Conditional Probability, Bayes’ Theorem, Mathematical Expectation

Probability Distribution: Binomial, Poisson’s and Normal.

 

 

7.00
Unit III: 
UNIT III

Time Series Analysis: Introduction, Utility of Time Series Analysis, Components of Time Series Analysis, Measurement of Trend: Freehand or Graphic Method, Method of Semi Averages, Methods of Moving Averages, Method of Least Square, Shifting the Trend Origin, Measurement of Seasonal Variations: Method of Simple Average, Ratio to Trend, Ratio to Moving Average Method, Link Relative Method

 

 

6.00
Unit IV: 
UNIT IV

Statistical Inference-Test of Hypothesis: Introduction, Procedure of Testing Hypothesis, Two types of Errors in Testing Hypothesis, Two Tailed and One Tailed Tests of Hypothesis, Test of Significance for Large Samples, Test of Significance for Attributes, Test of Significance for Small Samples (Student’s t Distributio

 

8.00
Unit V: 
UNIT V
Chi Square Test and Goodness of Fit: Introduction, Degrees of Freedom, The Chi Square Test and Alternative Method of Obtaining of the value of Chi Square, Chi Square Test for Specified value of Population Variance
 

Analysis of Variance: Application of F Test, Assumption in Analysis of Variance, Analysis of Variance in   One-Way and Two-Way Classification Model.

Essential Readings: 

ESSENTIAL READINGS:

  • Kapoor & Sancheti. Statistics Theory and Practice. Sultan Chand and Sons, New Delhi
  • Gupta, S.P. Statistical Methods .Sultan Chand & Sons New Delhi

 

References: 

SUGGESTED READINGS:

  • Das, N.G.Statistical Methods. M Das & Co
  • Yadav, Jain &Mittal.Business Statistics .Malik and Company, Jaipur
  • Pillai, R S N & Bhagvathi V.Statistics. S Chand & Co Ltd
  • Sharad S. Johari,  Rathore, R. Advanced Business Statistics . Atlantic Publishers & Distributors (P) Limited

 

e-RESOURCES:

 

JOURNALS:

  • Jindal Journal of Business Research
  • The Indian Journal of Commerce
  • Metamorphosis A Journal of Management Research
  • Oorja

 

Academic Year: