Home 2023-2024 MCO-022 QUANTITATIVE ANALYSIS & MANAGERIAL APPLICATION in English Solved Assignment 2023-2024

# MCO-022 QUANTITATIVE ANALYSIS & MANAGERIAL APPLICATION in English Solved Assignment 2023-2024

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## MCO-022 QUANTITATIVE ANALYSIS & MANAGERIAL APPLICATION in English Solved Assignment 2023-2024

TUTOR MARKED ASSIGNMENT
COURSE CODE : MCO-022
COURSE TITLE : QUANTITATIVE ANALYSIS &
MANAGERIAL APPLICATION
ASSIGNMENT CODE : MCO-022/TMA/2023-2024
COVERAGE : ALL BLOCKS
Maximum Marks: 100

Title Name

#### MCO-022 Solved Assignment 2023-2024

University IGNOU
Service Type Solved Assignment (Soft copy/PDF)
Course MCOM
Language ENGLISH
Semester 2023-2024 Course: Master of Commerce (M.Com)
Session Assignment July, 2023 & January, 2024 Sessions
Short Name MCO-022
Assignment Code MCO-022/TMA/2023-2024
Product Assignment of MCOM 2023-2024 (IGNOU)
Submission Date For July Session: 15th March
For January Session: 15th October

Attempt all the questions:
1. a) What are ogives? Discuss the method of constructing ogives with the help of
an example.
b) What is the practical utility of the central limit theorem in applied statistics?
(10+10)
2. a) What do you understand by the term correlation? Explain how the study of
correlation helps in forecasting demand of a product.
b) Explain the decision tree approach with suitable example.
(10+10)
3. Briefly comment on the following:
a) “Measuring variability is of great importance to advanced statistical
analysis”.
b) “In the case of quantitative methods of forecasting, each technique makes
explicit assumptions about the underlying pattern”.
c) “Different issues arise while analysing decision problems under uncertain
conditions of outcomes”.
d) “In probability sampling the decision whether a particular element is
included in the sample or not, is governed by chance alone”.
(4×5)
4. Write short notes on the following:
a) Questionnaire method of collecting primary data
b) Bayes’ Theorem
c) Testing the Goodness of Fit
d) Forecast Control
(4×5)
5. Distinguish between the following:
a) Geometric Mean and Harmonic Mean
b) Exponential Distribution and Normal Distribution
c) Stratified Sampling and Cluster Sampling
d) Correlation and Regression

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