This is a course on Statistics for Business Decisions. It is a core subject which has 4 credits and 40 modules that would be offered under the program. The application of Statistical Techniques for Business Decisions would be the prime focus of the program. The course structure would range from Descriptive Statistics to Inferential Statistics. Under Descriptive Statistics, topics like Measures of Central Tendency, Measures of Dispersion, Regression and Time Series would be discussed. Under Inferential Statistics topics like Probability, Probability Distribution and Hypothesis Testing would be covered. Students would learn how to apply these statistical techniques not only for business decisions but also for research methodology. This course will be offered over a span of twelve weeks. By the end of the week, the students will be given assignments and FAQs. The queries will be answered through emails.
| Course Status : | Completed |
| Course Type : | Core |
| Language for course content : | English |
| Duration : | 12 weeks |
| Category : |
|
| Credit Points : | 4 |
| Level : | Undergraduate |
| Start Date : | 08 Jan 2024 |
| End Date : | 30 Apr 2024 |
| Enrollment Ends : | 29 Feb 2024 |
| Exam Date : | 26 May 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.
| 1 | Measures of Central Tendency 1 |
| 2 | Merits, Limitations and Suitability of Averages |
| 3 | Measures of Central Tendency 2 |
| 4 | Measures of Dispersion |
| 5 | Measures of Variation |
| 6 | Measures of Central Tendency |
| 7 | Standard Deviation |
| 8 | Measurement of Coefficient of Variation |
| 9 | Correlation and Causation |
| 10 | Karl Pearson's Coefficient of Correlation |
| 11 | Spearman Rank Coefficient of Correlation |
| 12 | Numerical examples of Coefficient of Correlation |
| 13 | Regression Analysis |
| 14 | Linear Regression |
| 15 | Numerical examples of Regression |
| 16 | Standard Error of Estimate |
| 17 | Time Series - Properties and components |
| 18 | Time Series - Utility and Methods |
| 19 | Time Series - Meaning and Significance |
| 20 | Time Series - Method of Least Square |
| 21 | Parabolic trends and Non parabolic trends |
| 22 | Index Number |
| 23 | Index Number - 2 |
| 24 | Chain Index Number |
| 25 | Probability: Fundamental concepts and approaches |
| 26 | Probability and its Rules |
| 27 | Probability: Bayes Theorem |
| 28 | Probability Distribution |
| 29 | Bionomial Distribution |
| 30 | Poisson Distribution |
| 31 | Exponential Distribtuion |
| 32 | Normal Distribution |
| 33 | Inferential Statistics |
| 34 | Hypothesis - An introduction |
| 35 | Hypothesis and its process |
| 36 | One tailed and Two tailed tests of hypothesis |
| 37 | Type I and Type II errors |
| 38 | Hypothesis - Z test |
| 39 | Hypothesis - T test |
| 40 | SPSS |
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Schindler: BUSINESS RESEARCH METHOD, McGraw-Hill Irwin, 2006
2. Levin & Rubin:
STATISTICS FOR MANAGEMENT, Prentice Hall, 1998
3. SC Gupta:
FUNDAMENTALS OF STATISTICS, Himalaya Publishing House, 2018
4. Wilkinson & Bhandarkar:
METHODOLOGY AND TECHNIQUES OF SOCIAL
RESEARCH.
5. Pauline Vyoung:
SCIENTIFIC SOCIAL SURVEYS AND RESEARCH.
6. Panneerselvam, R.,
RESEARCH METHODOLOGY, Prentice Hall of India, New Delhi,
2004.
7. Kothari: RESEARCH
METHODOLOGY.
8. Festinger. L &
D. Katz: RESEARCH METHODS IN BEHA VIOURAL SCIENCE.
9. Sellitz, et al:
RESEARCH METHODS IN SOCIAL RELATIONS
10. Abraham, Ledolter: STATISTICAL METHODS FOR FORECASTING
11. Anderson, D.R., Sweeney, D.J., Williams,
T.A., (2009): ESSENTIALS OF MODERN BUSINESS
STATISTICS
12. S.P Gupta: STATISTICAL METHODS
13. M.P. Gupta, S.P. Gupta:
BUSINESS STATISTICS MBA BBA
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