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MMPC-005·IGNOU MBA·solved assignments

IGNOU MMPC-005 SOLVED ASSIGNMENT 2026-27 ENGLISH

UniversityIGNOU
CodeMmpc-005
CourseMBA
Title
LanguageEnglish
Session2026-27
AuthorSAKSHAM PUBLICATION
PublisherSAKSHAM PUBLICATION

Course: MMPC-005 – Quantitative Analysis for Managerial Applications

Assignment Code: MMPC-005/TMA/JULY/2026 | Coverage: All Blocks

Q1. Distinguish between primary and secondary data. Discuss various methods of collecting primary data. Indicate the situation in which each of these methods should be used.

Q2. Based on a recent nation-wide poll, a seller of printed advertisements estimates that 56% of all adults usually open all the mails they receive. If this is still the current rate at which adults open mail, what is the probability that, in a random sample of 1000 adults, the number who usually open all of their mails will be:

a) Less than 541?

b) 570 or more?

Q3. List the various reasons that make sampling so attractive in drawing conclusions about the population. Also explain the major difference between probability and non-probability sampling.

Q4. As part of an investigation of employee turnover, an industry-wide survey of people in sales management positions gave the number of years of experience in sales related positions. The data is as follows:

Males

Females

Sample size

80

70

Mean years

21.7

18.5

Std. dev of years

9.3

4.8

Construct a 95% confidence interval for the difference of means μ₁ - μ₂.

Q5. Write short notes on any three of the following:

a) Decision Tree Approach

b) Non-Probability Sampling Methods

c) Central Limit Theorem

d) The Correlation Coefficient

IGNOU
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Why this assignment matters

MMPC-005 carries significant weight in your IGNOU MBA final result. A well-written solved assignment helps you score the easy 30 marks — freeing up revision time for tougher topics. Our experts have analysed the last 5 years of MMPC-005 papers to make sure every answer aligns with IGNOU's expected pattern.

Recommended for

IGNOU MBA students preparing for the MMPC-005 Quantitative Analysis for Managerial Applications paper in the July 2026 / January 2027 session. Equally useful for re-registration students, backlog clearance, and last-minute exam prep.