Business Statistics

By Dr. P. M. SHIVA PRASAD | Department of Commerce, Teresian College, Mysuru.

Learners enrolled: 2947

Statistics is often termed as the “Science of Data”, which will help people in taking logical decisions during the times of uncertainty. It helps to draw conclusion and predict outcomes from a set of data specifically collected for.

Statistics provides the decision makers more confidence in dealing with ambiguous situations. Knowledge of statistics is applicable in day-to-day life of professionals belonging to different

fields.

This course will provide an opportunity to understand basic theoretical and applied principles of Statistics that are required in their profession. Further, the learners will be able to understand various statistical tools and techniques, so that, they can use them in their routine.

This is a sixteen(16) weeks course comprising of video lectures, weekly assessments and proctored examination at the end

Summary

Course Status :	Ongoing
Course Type :	Elective
Language for course content :	English
Duration :	16 weeks
Category :	Management Studies
Credit Points :	5
Level :	Undergraduate
Start Date :	08 Jul 2024
End Date :	31 Oct 2024
Enrollment Ends :	31 Aug 2024
Exam Date :	15 Dec 2024 IST
Exam Shift :	Shift-II

Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.

Page Visits

Course layout

Weekly Plan
Weeks	Episodes	Weekly Lecture Topics
Week 1	EPISODE 1	INTRODUCTION TO STATISTICS
	EPISODE 2	FUNCTIONS OF STATISTICS
	EPISODE 3	COLLECTION OF DATA
	EPISODE 4	PRESENTATION OF DATA
Week 2	EPISODE 5	TABULATION OF DATA
	EPISODE 6	CHARTING OF DATA
	EPISODE 7	INTRODUCTION TO EXCEL/SPSS
	EPISODE 8	GRAPHS IN EXCEL
Week 3	EPISODE 9	MEASURES OF CENTRAL TENDENCY-, MEAN
	EPISODE 10	MEDIAN - MEANING AND COMPUTATION
	EPISODE 11	MODE- MEANING AND COMPUTATION
	EPISODE 12	WEIGHTED AVERAGE MEAN,
Week 4	EPISODE 13	GEOMETRIC MEAN AND HARMONIC MEAN
	EPISODE 14	MEASURES OF DISPERSION
	EPISODE 15	TYPES OF DISPERSION
	EPISODE 16	STANDARD DEVIATION
Week 5	EPISODE 17	CO-EFFICIENT OF VARIATION
	EPISODE 18	KARL PEARSON CO-EFFICIENT OF SKEWNESS
	EPISODE 19	BOWLEY’S CO-EFFICIENT OF SKEWNESS
	EPISODE 20	CORRELATION
Week 6	EPISODE 21	KARLPEARSON’S CO-EFFICIENT OF CORRELATION
	EPISODE 22	RANK CORRELATION COEFFICIENT
	EPISODE 23	REGRESSION ANALYSIS
	EPISODE 24	REGRESSION - ARITHMETIC MEAN
Week 7	EPISODE 25	REGRESSION-ASSUMED MEAN
	EPISODE 26	REGRESSION COEFFICIENTS
	EPISODE 27	MULTIPLE CORRELATION AND REGRESSION
	EPISODE 28	INDEX NUMBER- INTRODUCTION
Week 8	EPISODE 29	METHODS OF CONSTRUCTING INDEX
	EPISODE 30	WEIGHTED INDEX NUMBERS
	EPISODE 31	FISHER'S IDEAL METHOD
	EPISODE 32	TESTS FOR PERFECTION
Week 9	EPISODE 33	THE CHAIN INDEX NUMBERS
	EPISODE 34	CONSUMER PRICE INDEX NUMBERS
	EPISODE 35	TESTING OF HYPOTHESIS-MEANING- TYPES
	EPISODE 36	ONE-TAILED AND TWO TAILED TESTS
Week 10	EPISODE 37	METHODS OF TESTING OF HYPOTHESIS
	EPISODE 38	Z TEST, - MEANING AND COMPUTATION
	EPISODE 39	ONE SAMPLE TEST-MEANING AND COMPUTATION
	EPISODE 40	CHI SQUARE TEST-MEANING AND COMPUTATION
Week 11	EPISODE 41	INTRODUCTION TO SAMPLING
	EPISODE 42	PROBABILITY SAMPLING TECHNIQUES
	EPISODE 43	NON-PROBABILITY SAMPLING TECHNIQUES
	EPISODE 44	STATISTICS OF SAMPLING
Week 12	EPISODE 45	ESTIMATION OF SAMPLE SIZE
	EPISODE 46	INTRODUCTION TO PROBABILITY, RULES, EVENTS AND ITS ALGEBRA
	EPISODE 47	RANDOM VARIABLES
	EPISODE 48	BINOMIAL DISTRIBUTION
Week 13	EPISODE 49	POISSON DISTRIBUTION
	EPISODE 50	NORMAL DISTRIBUTION
	EPISODE 51	CASE STUDIES ON BINOMIAL DISTRIBUTION
	EPISODE 52	CASE STUDIES ON NORMAL DISTRIBUTION
Week 14	EPISODE 53	CASE STUDIES ON CENTRAL TENDENCY
	EPISODE 54	CASE STUDIES ON COEFFICIENT OF VARIATION AND COEFFICIENT OF CORRELATION
	EPISODE 55	CASE STUDIES ON KARL PEARSON’S COEFFICIENT OF CORRELATION AND SPEARMAN'S RANK CORRELATION
	EPISODE 56	CASE STUDIES ON REGRESSION ANALYSIS

Books and references

1. Fundamentals of Statistics: D. N. Elhance, Veena Elhance and B. M. Aggarwal

2. Statistical Methods: S. P Gupta.

3. Fundamentals of Statistics: S.C Gupta

4. Practical Statistics: R S N Pillai and Bhagavathi

5. Statistics (Theory, Methods and Application): D.C. Sancheti and V.K. Kapoor

Instructor bio

Dr. P. M. SHIVA PRASAD

Department of Commerce, Teresian College, Mysuru.

Dr. P. M. Shiva Prasad has rich inter-disciplinary teaching experience for BCom, MCom, MFM, MBA, MDM and MCA students. Besides publishing articles and presenting papers, he has delivered special lectures. He has organised many conferences and workshops.

He has been awarded ‘Certificate of Excellence’ for outstanding performance as Convenor in Micro-Insurance Awareness and Enrollment Mission by University of Mysore. He is a post-graduate in the disciplines of Commerce, Management and Economics and doctorate from University of Mysore. Presently, he is working as Assistant Professor and Research Guide in Department of Commerce, Teresian College, Mysuru.

Course certificate

Assessment/Assignment marks will be considered for Internal Marks and will carry 30 percent for overall Result.

End Term Exam- will have 100 questions and will carry 70 percent of overall Result.

*All students, who obtain 40% marks in in-course assessment and 40% marks in end-term proctored exam separately, will be eligible for certificate and credit transfer.

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