Advanced Business Statistics

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

To providing comprehensive presentation of the essential topics of statistical techniques likes probability, sampling, analysis of time series etc.

COURSE OUTCOMES (COs):

Course

Learning outcome

 (at course level)

Learning and teaching strategies

Assessment Strategies

Paper Code

Paper Title

ATG  316

Advanced Business Statistics

 

CO107:Students will Interpolate and extrapolate the data

CO108:Categorize discrete and continuous probability distributions to various business problems

CO109:Select test of Hypothesis as well as calculate confidence interval for a population parameter for single sample and two sample cases

CO110:Consider  Chi-Square test for Independence as well as Goodness of Fit and ANOVA

CO111:Critically evaluate statistical results

Approach in teaching:

Interactive Lectures, Discussion, Tutorials, assignments.

Learning activities for the students:

Self learning assignments, Effective questions,  Giving tasks,

 

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

 

10.00
Unit I: 
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: 
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: 
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: 
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 Distribution) 

8.00
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: 
  1. Statistics Theory and Practice-Sancheti and Kapoor( Sultan Chand and Sons New Delhi
  2. Statistical Methods- S.P Gupta(Sultan Chand & Sons New Delhi)
  3. Advanced Business Statistics- Prof N.P Agarwal , Dr Ankita Chaturvedi ( Ramesh Book Depot)

 

 

References: 
  1. Statistical Methods- N.G. Das(M Das & Co)
  2. Business Statistics-Yadav, Jain, Mittal (Malik and Company Jaipur)
  3. Statistics- R S N Pillai & V Bhagvathi(S Chand & Co Ltd)
  4. Statistics- P.N Arora & S Arora, (S Chand& Co Ltd)

 

Note- The candidate shall be permitted to use battery operated pocket calculator that should not have more than 12 digits, 6 functions and 2 memories and should be noiseless and cordless

 

 

Academic Year: 
2021-2022
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