Question 1

Describe briefly the questionnaire method of collecting primary data. State the essentials of a good questionnaire.

Accepted Answer

The questionnaire method is a widely used technique for collecting primary data in quantitative research, particularly relevant in managerial applications for understanding markets, consumers, and organizational dynamics. It involves a structured set of questions, carefully designed to elicit specific information from a selected group of respondents.

This method is instrumental when a researcher needs to gather information directly from individuals on a specific topic, such as consumer preferen

Question 2

Discuss the importance of measuring variability for managerial decision-making.

Accepted Answer

In quantitative analysis for managerial applications (MMPC-005), understanding both the central tendency and the dispersion of data is crucial for robust decision-making. While measures like the mean or median provide an average value, they often fail to capture the spread or variability inherent in data. Variability, also known as dispersion, quantifies how much individual data points differ from the average, revealing the consistency and predictability of a process or outcome.

Measuring vari

Question 3

An investment consultant predicts that the odds against the price of a certain stock will go up during the next week are 2:1 and the odds in favour of the price remaining the same are 1:3. What is the probability that the price of the stock will go down during the next week?

Accepted Answer

In the MMPC-005 course, 'Quantitative Analysis For Managerial Applications', understanding probability is fundamental for informed decision-making, particularly in finance and investment. This question requires applying basic probability rules, including converting odds into probabilities and utilizing the concept of mutually exclusive and exhaustive events, which are core topics covered in Unit 2: Probability and Probability Distributions.

Probability is a numerical measure of the likelihood

Question 4

In practice, we find situations where it is not possible to make any probability assessment. What criterion can be used in decision-making situations where the probabilities of outcomes are unknown?

Accepted Answer

In practical managerial applications, decision-makers frequently encounter situations where the probabilities of future outcomes (states of nature) are entirely unknown. This scenario is termed 'decision-making under uncertainty' in quantitative analysis. Unlike decision-making under risk, where probabilities can be estimated, here, the decision-maker must rely on different criteria that reflect their attitude towards risk and potential outcomes.

Several criteria have been developed to aid deci

Question 5

A purchase manager knows that the hardness of castings from any supplier is normally distributed with a mean of 20.25 and SD of 2.5. He picks up 100 samples of castings from any supplier who claims that his castings have heavier hardness and finds the mean hardness as 20.50. Test whether the claim o

Accepted Answer

In the realm of quantitative analysis for managerial applications, hypothesis testing is a crucial tool that allows managers to make informed decisions based on sample data. This problem requires us to test a supplier's claim about the hardness of their castings against known population parameters using a statistical approach.

**Introduction to Hypothesis Testing**

Hypothesis testing, as discussed in Unit 13 of MMPC-005, is a formal procedure for determining whether an observed sample statist

MMPC-005 Solved Assignment — January 2025 / July 2024

Quantitative Analysis For Managerial Applications | IGNOU Master of Business Administration (MBA)

MMPC-005—January 2025 / July 2024

Quantitative Analysis For Managerial Applications

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MMPC-005 Assignment Questions — January 2025

Q1. Describe briefly the questionnaire method of collecting primary data. State the essentials of a good questionnaire.

Q2. Discuss the importance of measuring variability for managerial decision-making.

Q3. An investment consultant predicts that the odds against the price of a certain stock will go up during the next week are 2:1 and the odds in favour of the price remaining the same are 1:3. What is the probability that the price of the stock will go down during the next week?

Q4. In practice, we find situations where it is not possible to make any probability assessment. What criterion can be used in decision-making situations where the probabilities of outcomes are unknown?

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