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BUSINESS STATISTICS
Course Outcomes (COs):
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Course Outcomes
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Learning and teaching strategies |
Assessment Strategies |
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On completion of this course, the students will be able to: CO100: Examine the methods of collecting data, classify and present in the form of tables. CO101: Select and apply appropriate measures of central tendency. CO102: Investigate the data sets to find variation amongst them CO103: Analyse the bivariate data sets to identify the level of association and cause and effect relationship in them CO104: Construct permutations, combinations and probabilities for various events |
Interactive Lectures, Discussion, Tutorials, Reading assignments, Action Research |
Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments. |
• Introduction: Definition of Statistics, Importance and Scope of Statistics, Types and Source of Data, Collection of Data, Limitation of Statistics
• Classification and Tabulation of Data: Meaning and Characteristics, Frequency Distribution, Simple and Manifold Tabulation
• Measure of Central Tendency: Arithmetic Mean (Simple and Weighted), Median (Including Quartiles, Quintiles, Octiles, Deciles, Percentile), Mode, Geometric and Harmonic Mean-Simple and Weighted
• Measures of Dispersion: Absolute and Relative Measures: Range, Quartile Deviation, Mean Deviation, Standard Deviation and their Co-efficient.
• Skewness: Absolute Measures of Skewness,
• Relative Measures of Skewness –Karl Pearson’s Coefficient of Skewness, Bowley’s Coefficient of Skewness
• Correlation: Meaning and Significance, Scatter Diagram Correlation Graph, Karl Pearson’s Coefficient between two variables, Coefficient of Correlation by Spearman’s Rank Difference Method, Concurrent Deviation Method
• Regression Analysis-Meaning and Significance, Difference between Correlation and Regression, Regression lines, Regression equations, Coefficient of Regression, Standard error of the estimate
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
• Business Statistics- Gupta, Goyal, Sharma , Biyani, Jain, Gupta (Ajmera Book Co.)
• Business Statistics-Garg, Sharma, Jain, Pareek (Shivam Book House Pvt Ltd)
• Statistics Theory and Practice-Sancheti and Kapoor (Sultan Chand and Sons New Delhi)
• Advanced Business Statistics- Prof N.P Agarwal , Dr Ankita Chaturvedi ( Ramesh Book Depot)
• Statistical Methods- S.P Gupta, Archana Gupta(Sultan Chand& Sons, New Delhi)
• Business Statistics-Yadav, Jain, Mittal (Malik and Company Jaipur)
• Fundamentals of Statistics- S. C Gupta (Himalya Publishing House)
• Business Statistics -Norean Radke Sharpe, Richard D. De Veaux, Paul F. Velleman,(Pearson Education)
• Statistics for Management -Levin, Richard, David S. Rubin, Rastogi, and Siddqui., (Pearson Education)
• Advanced Business Statistics :Sharad S. Johri, Rajendra Rathore (Atlantic Publishers & Distributors (P) Limited)
• Fundamentals of Statistics -Goon, Gupta and Dasgupta (The world press private ltd)
e- RESOURCES:
• http://www.ddegjust.ac.in/studymaterial/mcom/mc-106.pdf
• http://gurukpo.com/Content/BBA/BBA_lll_sem_Statistical_Methods.pdf
• http://103.5.132.213:8080/jspui/bitstream/123456789/1103/1/Business%20St...(%20PDFDrive.com%20)%20(2).pdf
• https://faculty.ksu.edu.sa/sites/default/files/business-statistics-for-c...
• http://web.uvic.ca/~nkarlson/col11776-1.34.pdf
• https://oxvard.files.wordpress.com/2018/05/applied-business-by-trevor-we...
REFERENCE JOURNALS:
• IUP Journal of Accounting Research
• The Indian Journal of Commerce
• Metamorphosis A Journal of Management Research
• Nirma University Journal of Business & Management Studies
