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. Students of MBA, BBA, B.Com, M.Com can download these Study Materials which will be useful for their Exam Preparation. Through this article, we are going to provide the and Quantitative Analysis for Managerial Applications Study Materials, Study Notes, PDFs, Chapters & Topics, Important Questions in this topic and Download Links. Continue reading the below article for more information regarding the Management Studies Notes.
Table of Contents
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 |
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
- Business Forecasting
- Correlation
- Regression
- Time Series Analysis
Quantitative Analysis for Management Study Notes
Click on the below link to download the Study Materials :
Subject | Download Links |
Quantitative Analysis for Management | Click Here |
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Unit Wise PDFs – Quantitative Analysis for Managerial Applications
Download the Unit wise materials of Managerial Applications subject :
Units | Download Links |
Basic Mathematics for Managers | Download |
Data Collection and Analysis | Click Here |
Probability and Probability Distributions | Download |
Sampling and Sampling Distributions | Click Here |
Forecasting Methods | Download |
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
- University of Nebraska, Omaha
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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