Download BU (Bangalore University) MBA 1st Semester 2016 Feb Statistics for Management Question Paper

Download BU (Bangalore University) MBA (Master of Business Administration) 1st Semester 2016 Feb Statistics for Management Question Paper

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I Semester M.EA Degree Examlnation, February 2018
(CBCS) {2014-15 8; Onwards)
' Management
Paper - 1.4 : STATISTICS FOR MANAGEMENT
Tlme : 3 Hows Max.Mar1Instmc?on : Caiwiators and tawes ans- a?owed.
S ECTION ?- A
Answer any tlve questions. Each question canies ?ve market 5me
1. In the frequenCy distribution of 100 families given below. the median [3 known to
be 50. Find the missing frequencies.
Expandltum No. of families
_, o _ 20?- _14
20 - 40 ?
40 - 60 27
60 ? 80 ~
80 ? 100 15
_? Total 100
2. An anatysis of the monthly Wages paid to women; in two firms A and B helenging
to the same Industry that gave the lollowing reSuIts.
A B
Numbet of wage earners 566 ? 646.
Average monthly wage 52.50 4150
Vartance of the distn'bulion 100 121
a) Which ?rm pays the larger amount as monthly wages ?
b} In whlch firm you find greater variabirity In indlvldual wages ?
P.T.0.

PG 3 1079
3. What is CorrelatiOn Analysis ? List and explain its types and uses.
4. Following data are available in raspeci at sales and adve rtisement expenditure.
Mean
Standard Deviau'on
Sales Advenisemm Expenditure
70,000 1 E .000
1 5,000 3.000
Coefficient of correlation is + 0.8
Find me regress1on equatlons.
5. Explain Decision Theory along with its advantages and Ilmltations.
6. Two sample polls of votes for two candidates A and B for a public of?ce are
taken, one lrom among residents of rural area and one from urban areas. The
results are given betow. Examine. whether the nature of the area is related to the
voting preference in this electlon.
\\
?33 ta 5'? A B Total
Area\\
\
Ru ral 620 . 380 1000
Urban 550 450 1000
Total 1 170 830 2000
7. Explain Bayes theorem and its applications.

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SECTION ? B
Answermv three of the foliowing questions. Each question canissten marks. (3:10:30)
8. Explain different methods of sampling with examples.
9. Compute Laspeyres, Paasche's and Fisher's price index nu mber for 2015, using
the following data oonceming th ree commodities :
2014 2015
P?oe Gmmitv Prim Guamity
??'?"??""" cm (K9) (Hm) {m
A 15 15 22 12
B 20 5 27 4
C 4 1D 7 5
Also show that it satlsfies both Time Reversal Test and Factor Reversal Test.
10. A company appoints tour salesmen. A. B. C. D and observes their sales in three
seasons ? summer, winter and monsoon. The figu res {in lakhs) are given In the
foIIowing table :
Salesman
Season A B C D Ton]
Summet 36 36 21 35 1 28
Winter 28 29 31 32 1 20
Monsoon 26 28 29 29 1 12
Total 90 93 81 96 360
Carry out an analysis of variance.

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11 . In Bangarme. 400 persons were cansidered regular consumers of plzzas out of a
sample of 1000 persons. In Mangalore. 350 were regular conSUmers of piuas
oui 0t sample of 800 persons. Test at 1% level of signi?cance. whether there is a
significant difference between the two towms as far as the proportion of pizza-
eating habits are concerned.
S ECTION ? C
Compulsory. (1 x15=151
12. A dietician warm to test 3 different types ol? diet plans to see if 5" these plans
have similar weight reducing a?em or not. He selected a homogenous gtoup of
23 persons and placed them into 3 subgroups, each subgroup trying a different
diet plan. Each plan was tried for a period of 30 days.
The fouowing obsewamns of weight losses in kgs wete recorded for members
of each groun after this perlod of 80 days.
pm Man 05a: Plln Dlet mTI
1 2 a
4.0 3.6 5.5
3.0 5.2 7.2
3.7 2.0 5.9
0.2 0.0 5.5
5.6 3.0 0.3
4.2 5.0 7.7
3.9 5.0
5.5 3.2
L 7.0

This post was last modified on 28 January 2020