Quantitative Techniques Question Paper of MBA Semester 1, Download Question Paper 9

Roll No………

Total No. of Questions: 05

MBA (Sem.-1^st)

QUANTITATIVE TECHNIQUES

Subject Code: MBA-104

Paper ID: [C0104]

Time: 3 Hrs.                                                                           Max. Marks: 60

Instructions to Candidate:

1.     Attempt any four question from Section-A.

2.     Attempt any four questions in all from Section-B. Selecting One question from each unit.

3.     Section-B is compulsory.

SECTION-A

(4 X 5=20)

Q1.

(a)  Discuss the importance of Coefficient of Variance in Management Analysis.

(b) Explain the various steps in testing of hypothesis.

(c)  Discuss the test of significance for small sample.

(d) What are index numbers? How are they used in analysis of data?

(e)  List the components of time series analysis?

(f)   What is the role of random variables in management analysis?

SECTION-B

UNIT-I

(4 X 8=32)

Q2.

(a)  Discuss the role of statistical analysis in managerial decision making.

(b) Explain the primary & secondary sources of collection of data.

OR

A purchasing agent obtained samples of lamps from 2 suppliers.  He had the samples tested in his own laboratory for the length of life of lamps with the following results.  Which supplier’s lamps are more uniform with respect to length of lives?

Life of bulbs in hours	700-900 hrs.	900-1100 hrs.	1100-1300 hrs.	1300-1500hrs.
Supplier A	10	16	26	8
Supplier B	3	42	12	3

UNIT-II

Q3.    An automobile  manufacturer tabulates the following information about age groups and the Liking for a particular model of the car  which it plans to introduce.  On the basis of this data. Can it be concluded that the car model appeal is independent of the age group?

(Given for v=3.x²=7.815)

		Age Group ( in years)
		Below 20	20-30	30-40	40-50	Total
Persons Who	Liked the car	140	80	40	20	280
	Disliked the car	60	50	30	80	220
	Total	200	130	70	100	500

OR

          The Sales data of an item in 6 shops before and after a special promotional campaign is as under.  Can the campaign be judged to be a success? (Given for v=5, t=2.02)

Shops	A	B	C	D	E	F
Sales Before campaign	53	28	31	48	50	42
Sales After campaign	58	29	30	55	56	45

UNIT-III

Q4.

(a)  Discuss the uses and significances of index numbers? Further discuss the methods of construction of different Index numbers?

(b) What is standard error in regression analysis?

OR

The following table gives the age of cars of a certain make and annual maintenance costs.  Obtain the regression equation for costs related to age.  Also find out the maintenance cost Of a car whose age is 12 years old.

Age of Cars (in years)	2	4	6	8
Maintenance Cost (in  thousand Rs.)	10	20	25	30

UNIT-IV

Q5.    Discuss the utility of Time Series Analysis managerial analysis decision. Also discuss its Various components and methods.

OR

The income distribution of officers of a certain company was found to follow normal Distribution. The average income of an officer was Rs.15,000.  The standard deviation of the Income of officers was Rs. 5,000.  If there were 242 officers drawing salary above Rs. 18,500.  How many officers were there in the company?

SECTION-C

CASE ANALYSIS

Q6.    A departmental store gives in service training to its salesmen.  Which is followed by a test.  The store management is considering whether it should terminate the services of any salesmen who does not do well in the test.  The following data gives the test scores and sales made by the nine salesmen during a certain period. You as a manager are required to analyze the given data, and determine whether there is any associations between the test scores and sales.  Subsequently discuss as to whether, the termination of services of low test scoring employees is justified? Also determine if the store management wants a minimum sales volume of Rs. 30,000. What should be the minimum test scores the shall ensure continuation of service? Further estimate the most probable sales volume of a salesman who has scored a test score of 28.

Test scores	14	19	24	21	26	22	15	20	19
Sales (in ‘000Rs.)	31	36	48	37	50	45	33	41	39