# MBA 1st Year Semester Mock Papers Set 1 Section Wise Questions

MBA 1st Year Semester Mock Papers Set 1 Section Wise Questions Sample Model Practise Papers Study Material Notes MBA 1st Year Mock Papers In over Site a2znotes.com 3 Mock papers for Self-assessment Unit-Wise Division Of The Content Solved Case Studies For Practise

Mock Paper-1

Time: 3 hours)                                                                                               [Total Marks: 100

Note: The question paper contains three sections. Attempt all sections.

Section A

MBA Topic Chapter Semester Wise Sample Model Practice Question Answer Papers

Note: Attempt all questions of the following:(2×10=20)

1. (a) Discuss briefly the role of statistics in the successful management of business enterprise.

(b) What do you understand by dispersion? What is the need of studying dispersion?

C) Distinguish between time reversal and factor reversal tests. (d) Explain the various methods for isolating trends,

(e) What are the properties of regression coefficients?

(f) What are two regression lines?

(g) Define probability. What is the probability of getting more than 10 in a single throw of two dice?

(h) Distinguish between Binomial and Poisson distribution.

(i) Distinguish between sample and population.

(j) Under what conditions do we make use of F-test?

Section B

Note: Attempt any five questions from this section. (10×5=50)

2. Statistics plays an important role not only in the study of economics and commerce, but also in managerial decision-making.’ Explain briefly.

3. Fit a straight line trend by least squares method to the data given below and estimate trend for 2008.

 Year 2002 2003 2004 2005 2006 2007 (sales’000Rs. 10 12 15 16 18 19

4. You are given the following data:

MBA 1st Year Semester Mock Papers Set 1 Section Wise Questions

 Variable X Y Mean 47 96 Variance 64 81

Coefficient of correlation between X and Y IS 0.36 determine the equations of regression lines calculate Y when X = 50 and X When Y = 88

5. A problem in business statistics is given to four students A,B,C and D. Their respective chances of solving it are ½, ⅓, ⅕ and ⅙, what is the probability that problem will be solved by any two of them?

6. Two types of batteries X and Y are tested for their length of life and the following results are obtained:

 Battery Sample size Mean (Hr.) Std. Deviation (Hr.) X 100 1000 10 Y 120 1020 11

Can you conclude that the two types of batteries are having the same mean life?

7. What is the major purpose of hypothesis testing?major purpose of hypothesis testing?

8. The mean weekly sales of soap bars in departmental stores were 146.3 bars per store. After an advertising compaign the mean weekly sales in 22 stores for a typical week increased to 153.7 and showed a standard deviation of 17.2. Was the advertising compaign success

tabulated value oft for 21 d.f. at 5% level of significance =1.72)

9. Find the mean of X and Y variables and the coefficient of correlation between them from the following two regression equations:

2Y-X= 50 and 3Y – 2X = 10.

Section C

Note: Attempt any two questions from this section.

(15×2=30)

10. (a) In a statistical investigation in two villages A and B, the following data was obtained:

A factory produces two types of electrical lamps A and B. In an experiment relating to their life, the following results were obtained:

 Particulars Village A Village B No. 600 500 Average income(rs) 175 186 Standard deviation(rs) 10 9

(i) What is the average income of the respondents in the village A and B put together?

(ii) in which village is the variation in income greater?

(b) In a sample of 240 workers in a factory the mean and standard deviation of wages were 113.50 and * 30.30 respectively. Find the percentage of workers getting wages between +90 and 170 in the whole factory assuming that the wages are normally distributed. Civen area under standard normal curve (between z=0 and z=2)

MBA 1st Year Semester Mock Papers Set 1 Section Wise Questions

 Z 0 0.5 1 1.5 2 Area 0 0.1915 0.3413 0.4332 0.4772

(c) The following figures relate to the no. of units of an item produced per shift by two workers A and B respectively.

 Z 19 22 24 27 24 18 20 19 25 – – B 26 37 40 35 30 30 40 26 30 35 45

Can it be inferred that worker A is more stable as compared to worker B using F-test 5% level of significance? [Critical value at 5% significance is F (10,*) = 3.35]