# Quantitative Analysis for Managerial Applications Study Materials 2020 – Download Study Notes PDF

Download Quantitative Analysis for Managerial Applications Study Materials 2020. In this article, we are going to provide the Study Notes for Management Studies. These study books will be more useful to the Commerce Students. The basic topics in this subject are Basic Mathematics for Managers, Probability Distributions, Sampling, Forecasting Methods, etc. Download Unit PDF files, Important Questions, Chapters & Topics by the links provided below on our Exams Time website.

## Quantitative Analysis for Managerial Applications Study Materials

 Name of the Subject Quantitative Analysis for Managerial Applications Study Materials Category Management Studies Useful for MBA, BBA, B.Com Courses Course Type Post Graduation & Under Graduation Article on Study Materials 2020 Study Material Format PDF Download Other Study Materials Click Here

## Chapters and Topics in Quantitative Analysis for Managerial Applications

BASIC MATHEMATICS FOR MANAGERS

• Quantitative Decision Making: An Overview
• Function and Progressions
• Basic Calculus and Applications
• Matrix Algebra and Applications

DATA COLLECTION AND ANALYSIS

• Collection of Data
• Presentation of Data
• Measures of Central Tendency
• Measures of Variation and Skewness

PROBABILITY AND PROBABILITY DISTRIBUTIONS

• Basic Concepts of Probability
• Discrete Probability Distribution
• Continuous Probability Distributions
• Decision Theory

SAMPLING AND SAMPLING DISTRIBUTIONS

• Sampling Methods
• Sampling Distributions
• Testing of Hypotheses
• Chi-Square Tests

FORECASTING METHODS

• Correlation
• Regression
• Time Series Analysis
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## Subject to the Universities

This subject will be useful to the students of Business Administration students of Master’s Degree, Bachelor’s Degree, and also for Commerce Graduates. The following university students can also download these materials :

• University of Calicut
• Algappa University
• Bharathiar University

### Subject in the Semesters

Quantitative Analysis subject will be studied by the students in the following semesters of their respective courses :

• MBA II Semester
• B.Com II Semester
• M.Com I Semester

### Important Questions on this topic?

We have listed some of the important questions in Quantitative Analysis for Managerial Applications subject :

• Describe the main features of the quantitative approach to management.
• Explain the purpose and methods of classification of data giving suitable
examples
• The profits (Rs. lakhs) of 50 companies are given below:
20 12 15 27 28 40 42 35 37 43
55 65 53 62 29 64 69 36 25 18
56 55 43 35 26 21 48 43 50 67
14 23 34 59 68 22. 41 42 43 52
60 26 26 37 49 53 40 20 18 17
Classify the above data taking first-class as 10-20 and form a frequency
distribution.
• Discuss the mathematical properties of arithmetic mean and median.
• What are quantiles? Explain and illustrate the concepts of quartiles, deciles and percentiles.
• Compute the range and the quartile deviation for the following data:
Monthly wage   No. of workers   Monthly wage(Rs.)    No. of workers
(Rs.)
700-800                  28                               1000-1100                     30
800-900                  32                              1100-1200                      25
900-1000               40                             1200-1300                       15
• What is the major difference between probability and non-probability sampling?
• What is the practical utility of the central limit theorem in applied statistics?
• What do you understand by forecast control? What could be the various methods to ensure that the forecasting system is appropriate?
• What do you understand by the term correlation? Explain how the study of correlation helps in forecasting demand of a product.
• What are the basic steps in establishing a relationship between variables from a given data?
• What do you understand by time series analysis? How would you go about conducting such an analysis for forecasting the sales of a product in your firm?

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