Rajasthan Technical University 2010-2nd Sem M.B.A RESEARCH METHODS IN MANAGEMENT - Question Paper

M.B.A. (Sem. II) (Main/Back) Examination, May/June-2010

RESEARCH METHODS IN MANAGEMENT

part – A

Q1. (a) The Kanishk Yarn Trading Company claims that is product has an avg. breaking strength of at lowest 90 lbs. The Ahmedabad weaving mills is interested in testing the Company's claim regarding the breaking strength of the yarn. The weaving master of Ahmedabad weaving mills considers it much more serious to buy a batch of yarn with mean breaking strength of more than 90 lbs. from the mill's past experience with this kind of cotton yarn with different cotton yarn suppliers, it was observed that the standard deviation of braking strength is 12 lbs. In order to test Kanishk's claim, a sample of 16 pieces of yarn was opted from a batch of yarn supplied, and the avg. breaking strength was obtained to be 92 lbs. provided this sample information, should the weaving master accept the Kanishk's claim? (Z0.025=1.96; Z0.05=1.645)
[7]
(b) Suppose playing 4 rounds of golf at the city club 11 professional totaled 280,282,290,273,283,283,275,284,282,279 and 281. Use the sign test at 5% level of significance to test the null hypothesis that professional golfers avg. µ=284 for 4 round against the option hypothesis µ<284. (Z0.05=1.645)
[7]

Q2. (a) The procedure of testing hypothesis requires a researcher to adopt several steps. define in brief all such steps. [8]
(b) discuss the report writing process.
[6]
Q3. define the research? Write the objectives of research. elaborate the main steps which are included in the research process? [2+3+9]

Q4. (a) An economic researcher wants to obtain out if there is trend in arrivals at the entrance of the shopping in mall in terms
Of males and females arriving or whether such arrivals are simply random. 1 day stationed him self at the main entrance and recorded the gender of 1st 30 shoppers who came in. The outcomes are as follows.
MMFMFFFMMMFFMFMMFFFFMMMMMFFMMM
Use the runs test for randomness at 0.05 levels of significance. (Z0.025=1.96; Z0.05=1.645) [7]

(b) In a certain town the proportion of smokers was 90%. A random sample of 100 persons was taken from the town and 85% were obtained to be smokers among them. By using x2 test, test whether there is significance difference ranging from the sample proportion and the population – proportion of smokers in the town. (for one d.f. X2 0.05=30841; for two d.f. X2 0.05=5.991) [7]

Q5. (a)Distinguish ranging from the following:
(i) Type I fault and kind II fault
(ii) Primary data and secondary data
(iii) Questionnaire and Schedule
[3+3+3]
(b) What is statistical package for the social sciences (SPSS) AND Data mining? [5]

Q6. (a)Why probability sampling is generally preferred in comparison to non-probability sampling? discuss the procedure of selecting a simple random sample. [8]

(b) In a partially destroyed laboratory on an analysis of correlation data , the subsequent outcomes are legible.
Variance of x=9,
Regression equations
8x-10y+66=0
40x-18y=214
obtain out on the basis of the above information:
(i) Mean value of x and y
(ii) Coefficient of correlation ranging from x and y
(iii) Standard deviation of y. [6]


part - B
Q7. A manufacture wants to test the hypothesis that the mean life 2 brands of machine used are equal. The life time is measured by the number of operating hours ranging from the overhauls. The manufacture keeps overhaul statistics on all his machines. A random sample of 15 machines provide the subsequent details:
Operating hours ranging from overhauls:
Brand X: 1050,1150,850,800,1000,1350,1100,1300,1450,900,1200,1250,1550,825,650.
Brand y: 1170,970,880,1410,700,775,940,1650,950,1190,600,1600,975,450,1290.
Using Mann Whitney test will you conclude that the life times of 2 brands are equal?
[14]

OR
Set up ANOVA table for the subsequent info relating to 3 drugs testing to judge the effectiveness in reducing blood pressure for 3 various groups of people:
Drug
X Y Z
Group of people A 14 10 11
15 nine 11
B 12 seven 10
11 eight 11
C 10 11 8
11 11 7
[F0.05 (2, 9) =4026; F0.05 (4, 9) =3.63]
Do the drugs act differently?
Are the various groups of people affected differently? Is the interaction term significant? [14]

Earning:   Approval pending.