Quantitative Techniques for Business – Adv
- Description
- Curriculum
- Reviews
Model Question Paper
Quantitative Techniques for Business
Key Features
- Unit-wise Short Notes
Each unit includes a summary in both languages, making revision faster and more effective. -
Extensive MCQ Practice
1500+ MCQ Practice Questions: This comprehensive question bank includes 1500+ multiple-choice questions (MCQs). Each unit contains approximately 150 MCQs covering a wide range of cognitive levels such as remembering, understanding, application, and analysis. -
Exam Practice Paper with Mock Tests
Includes three full-length mock tests for real exam practice. -
Latest Syllabus as per NEP
The syllabus aligns with the latest National Education Policy (NEP) and follows the exam patterns of MSU, CCSU, and other universities following the NEP. -
Designed by Experts
This question bank has been meticulously prepared by subject matter experts to ensure accuracy and relevance.
Why Choose This Model Paper?
- Complete Exam Preparation: Unit-wise summaries, MCQ practice, and mock tests provide a complete study solution.
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Latest NEP-Based Pattern: Ensures compliance with the latest university exam structure.
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Program Class: Diploma / B.B.A |
Year: I |
Semester: II |
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Subject: B.B.A-201 |
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Course Title: Quantitative Techniques for Business |
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Credits: 4 |
Core Compulsory |
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Max. Marks: –25+75 |
Min. Passing Marks: 33 |
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Unit |
Topics |
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I |
Statistics: Types of Data, Classification & Tabulation of Data, Frequency Distribution, Census and Sample Investigation, Diagrammatical and Graphical Presentation of Data.
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II |
Measures of Central Tendency (Mean, Median & Mode) Measures of Dispersion (Range, Mean Deviation & Standard Deviation).
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III |
Correlation: significance of Correlation, Types of Correlation, Scatter Diagram Method, Karl Pearson coefficient of correlation, Spearman’s coefficient of Rank correlation. Regression: Introduction, Regression Lines and Regression Equations & Regression Coefficients.
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IV |
Analysis of Time Series, Index Numbers, Interpolation and Extrapolation. |
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V |
Probability: Definitions of Probability, Additive and Multiplicative Rules of probability, Bay’s Theorem (Simple numerical) Probability Distributions: Binomial, Poisson and Normal.
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Unit 1: Summary - Quantitative Techniques for Business -
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Unit 1: MCQs - Quantitative Techniques for Business- Adv -
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Unit 2: Summary - Quantitative Techniques for Business
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Unit 2: MCQs - Quantitative Techniques for Business- Adv
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Unit 3: Summary - Quantitative Techniques for Business
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Unit 3: MCQs - Quantitative Techniques for Business- Adv
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Unit 4: Summary - Quantitative Techniques for Business
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Unit 4: MCQs - Quantitative Techniques for Business- Adv
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Unit 5: Summary - Quantitative Techniques for Business
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Unit 5: MCQs - Quantitative Techniques for Business- Adv
