Shopping Cart
0 item(s) in cart
Ignou MBA Solved Assignments
Email or call us for IGNOU MBA Solved Assignments

MS-95 Solved Assignment

Rs. 400.00  Rs. 250.00
Save: 38% off

  • Version: 2018 July - Dec


Soft Copy: Yes
Downloadable File: Yes
University: IGNOU
Course: Master of Business Administration
File: PDF/ZIP

Q&A of MS-95 Solved Assignment 2018 - Research Methodology for Management Decisions

Q. "The manager/ researcher is not equipped to arrive at a focused the precise research question, till he carries out a thorough inventory check of the problem area". Examine the above statement and justify with examples why you agree/disagree with it.

Answer......

Q. Distinguish between secondary and primary methods of data collection. Is it possible to use secondary data methods as substitutes of primary methods? Justify your answer with suitable illustrations.

Answer......

Q. Explain an itemized rating scale. What are the various issues involved in constructing an itemized rating scale?

Answer......

Q.What are non-parametric tests? How are they different from parametric tests? Explain the advantages and disadvantages of the non-parametric tests.

Answer......

Q. What are the guidelines for effectively presenting the research results through oral presentation? How can a researcher make his presentation more effective? What are the audio-visual aids available for the purpose?

Answer......

Product Details: Mba MS-95 Solved Assignment 2018

Course: IGNOU MBA (Master of Business Administration)
Session: July - Dec 2018
Subject: Research Methodology for Management Decisions

Ignou Mba MS-95 Assignments - Old Sample Answers

Q. What is a Regression Analysis?
Answer. Time series analysis is the term used to describe a set of statistical tools that are useful for identifying patterns of demand that repeat periodically - in other words, patterns that are driven by time. The other most widely used tool for demand forecasting is regression analysis. This statistical tool is useful when the analyst has reason to believe that some measurable factor other than time is affecting demand. Regression analysis begins with the identification of two categories of variables: dependent variables and independent variables....... Regression models are built using a data set of historical values. They are used to evaluate the relationship between independent and dependent variables in an existing data set and produce a mathematical framework that can be extrapolated to values of the independent variables not present in the data set......... A diverse range of regression models exists, and the appropriate model to employ for a given task depends on the nature of the dependent variable being predicted. In some cases, an explicit value must be predicted-say, the total amount of revenue a new user will spend over the user's lifetime.............. In other cases, the value predicted by the regression model is not numeric but categorical; following from the example above, if, instead of the total revenue a new user will spend over the users lifetime, a model was constructed to predict whether or not the user would ever contribute revenue, the model would be predicting for a categorical (in this case, binary) variable: revenue or no revenue............. Imagine you are a consultant working in a purchasing department whose input into business decision making process is welcomed within the firm. The Purchasing Manager believes that by working more closely with suppliers, subsequent delivery performance will improve. His idea of working more closely means visiting suppliers on a regular basis to discuss business issues.........


About Us    Privacy Policy    Shipping/Cancellation/Refund Policy    Terms and Conditions    Site map

Copyright © 2018 Universal Teacher Publications - IGNOU MBA Assignments, IGNOU MBA Solved Papers, Question Bank, Notes, Case Studies