MCO-22 · June 2023 · English

IGNOU MCO-22 June 2023 Previous Year Question Paper

QUANTITATIVE ANALYSIS AND MANAGERIAL APPLICATIONS

Structured previous year question paper for MCO-22, June 2023 session.

Max marks: 100 · Questions: 11

Verified: 8 Sept 2026

MASTER OF COMMERCE

(M. COM.)

Term-End Examination

June, 2023

MCO-22 : QUANTITATIVE ANALYSIS FOR

MANAGERIAL APPLICATIONS

Time : 3 Hours Maximum Marks : 100

Note : Attempt any five questions. All questions

carry equal marks. Z -table is provided with

question paper.

Q1.What is mode and the modal class ? State the equation of obtaining mode from grouped data.

Q2.What do the various elements in the equation for mode signify ? Give some merits and demerits of mode. 5, 5, 5, 5 [ 2 ]

Q3.Bring out the points of similarities and differences between stratified sampling and cluster sampling. Which one is preferred and under what circumstances ? 10,

Q4.What do you mean by a Statistical Hypothesis ?

Q5.Explain characteristics of a good hypothesis.

Q6.Elaborate the concept of the significance level and the p value of a test. 5, 5,

Q7.What is a Chi -square distribution ? How would you use it in testing the goodness of fit and testing independence of categorized data ? 5,

Q8.Discuss the applications of quantitative techniques in various functional areas of management with the help of a suitable example.

Q9.(a) ABC company that sells 5000 batteries in a year, gurantees them for a life to 24 months. The life of the batteries is estimated to be approximately normal with mean equal to 34 months and standard deviation equal to 5 months. Find the number of batteries that will have to be replaced under the guarantee. 12

(b) What do you mean by research design ? Explain its components. 3,

Q10.Calculate the coefficient of skewness based on mean and median from the following distribution : 20 Class Interval Frequency 0—10 10—20 20—30 30—40 40—50 50—60 60—70 70—80

Q11.Write short notes on any four of the following : 5×4=20

(a) Random variable

(b) Correlation coefficient

(c) Scalar matrix

(d) Conditional probability

(e) Components of time series

(f) Decision trees