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In this article, you’ll get:
Free downloadable PDF notes for each unit
Clear explanations in simple English
Topics covering the complete syllabus
Best study material for quick revision
Explore the units below for detailed content. Want’s to explore more subjects – Study Hub Zone
What are Quantitative Techniques?
Quantitative Techniques (QT) involve mathematical and statistical methods used to analyze numerical data and support decision-making in business, economics and management. QT helps in solving complex problems by using formulas, models, and logic.
These notes will help you understand key concepts like:
Measures of central tendency and dispersion
Probability theory and applications
Permutations and combinations
Correlation and regression analysis
Time series and forecasting techniques
Index numbers and trend analysis
Why Use Our Quantitative Techniques – I Notes?
👉 100% University Syllabus Covered
👉 Designed for BBA/B.Com/Statistics/Quantitative Aptitude
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Download Quantitative Techniques – I Notes PDF – Unit Wise
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Course Units
Unit 1: Introduction to Quantitative Techniques, Sets, Functions and Matrices
Topics Covered: The definition, scope, and role of quantitative techniques in business decision-making, types and limitations of QTs, along with set theory basics, functions, and matrix algebra including operations, determinant, and inverse.
Unit 2: Linear Equations, Inequalities and Simultaneous Equations
Topics Covered: Focuses on solving linear equations in one and two variables, graphical solutions of linear inequalities, and solving simultaneous equations using substitution, elimination, and matrix methods in business applications.
Unit 3: Measures of Central Tendency and Dispersion
Topics Covered: Explains the calculation and business relevance of mean, median, and mode for grouped and ungrouped data, along with dispersion measures like range, standard deviation, and coefficient of variation for data variability analysis.
Unit 4: Correlation and Regression Analysis
Topics Covered: Methods to measure correlation (Karl Pearson’s and Spearman’s), and explains simple linear regression, forming regression equations, and using regression lines for forecasting in managerial decision-making.
Unit 5: Time Series Analysis and Index Numbers
Topics Covered: Discusses components and trend analysis in time series using moving averages and least squares, and introduces index numbers, their construction methods like Laspeyres’, Paasche’s, Fisher’s, and applications like cost of living and WPI.
Final Thoughts
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