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## MCO-022 QUANTITATIVE ANALYSIS & MANAGERIAL APPLICATION Solved Assignment 2022-2023

TUTOR MARKED ASSIGNMENT
COURSE CODE : MCO-022
COURSE TITLE : QUANTITATIVE ANALYSIS &
MANAGERIAL APPLICATION
ASSIGNMENT CODE : MCO-022/TMA/2022-2023
COVERAGE : ALL BLOCKS
Maximum Marks: 100

Title Name

#### MCO-022 Solved Assignment 2022-2023

University IGNOU
Service Type Solved Assignment (Soft copy/PDF)
Course MCOM NEW
Language ENGLISH
Semester 2022-2023 Course: MCOM NEW
Session July 2022 and January 2023 admission cycle
Short Name MCO-022
Assignment Code MCO-022/TMA/2022-2023
Product Assignment of MCOM 2022-2023 (IGNOU)
Submission Date In case you are planning to appear in June Term-End Examination, you must submit the assignments to
the Coordinator of your Study Centre latest by 15th March, and if you are planning to appear in
December Term-End Examination, you must submit them latest by 15th September.

Attempt all the questions:
1. (a) Discuss some criteria where the probability associated with the associated
outcome is not known.
(b) Explain the purpose and methods of classification of data giving suitable
examples.
(10+10)
2. (a) 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?
(b) What is the practical utility of the central limit theorem in applied statistics?
(10+10)
3. Briefly comment on the following:
a) “Measuring variability is of great importance to advanced statistical analysis.”
b) “Opinion polls are a very common method of gaining knowledge about
consumer tastes”.
c) “Probability theory provides us with the ways and means to attain the formal
and precise expressions for uncertainties involved in different situations”.
d) “The primary purpose of correlation is to establish an association between any
two random variables”.
(4×5)
4. Write short notes on the following:
a) Geometric Mean
b) Binomial Distribution
c) Rank correlation
d) Consideration in the choice of a forecasting method
(4×5)
5. Distinguish between the following:
a) Census and Sampling methods of data collections
b) One-tailed and Two-tailed tests of variance
c) Linear Regression and Non-Linear Regression
d) Type I and Type II Errors

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