The course covers topics in Quantitative Methods with an emphasis on practical applications in business decision-making. Students will gain a deep understanding of mathematical and statistical tools, analytical and inferential techniques, and how to apply these tools in real-world scenarios.


The syllabus covers various topics in quantitative methods and statistics. While there may not be a single textbook that covers all of these topics in the exact order and depth as your syllabus, I can recommend textbooks that cover each of the modules and topics mentioned in your syllabus.


1.      Useful Mathematical Functions (Module 1):

Text Book: "Business Mathematics" by Gary Clendenen and Stanley A. Salzman.

2.      Descriptive and Inferential Statistics (Module 2):

Text Book: "Statistics for Business and Economics" by Paul Newbold, William L. Carlson, and Betty Thorne.

 Probability and Sampling Technique (Module 3):

Text Book: "Probability and Statistics for Engineers and Scientists" by Ronald E. Walpole and Raymond H. Myers.

4.      Hypothesis Testing (Module 4):

Text Book: "Statistics" by Robert S. Witte and John S. Witte.

5.      Parametric Data Analysis (Module 5):

Text Book: "Applied Linear Statistical Models" by Michael H. Kutner, Christopher J. Nachtsheim, and John Neter.

6.      Big Data (Module 6):

Text Book: "Big Data: A Revolution That Will Transform How We Live, Work, and Think" by Viktor Mayer-Schönberger and Kenneth Cukier.