# 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 our Site a2znotes.com 3 Mock papers for Self-assessment Unit-Wise Division Of The Content Solved Case Studies For Practise.

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**MBA Topic Chapter Semester Wise Sample Model Practice Question Answer Papers**

**Section A**

**Q.1** Discuss briefly the role of statistics in the successful management of business enterprises.

**Q.2** What do you understand by dispersion? What is the need of studying dispersion?

**Q.3** Distinguish between time-reversal and factor reversal tests. (d) Explain the various methods for isolating trends,

**Q.4** What are the properties of regression coefficients?

**Q.5** What are two regression lines?

**Q.6** Define probability. What is the probability of getting more than 10 in a single throw of two dice?

**Q.7** Distinguish between Binomial and Poisson distribution.

**Q.8** Distinguish between sample and population.

**Q.9** Under what conditions do we make use of the F-test?

**Section B**

**Q.1** Statistics plays an important role not only in the study of economics and commerce but also in managerial decision-making.’ Explain briefly.

**Q.2** 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 |

**Q.3** You are given the following data:

The 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

Variable |
X | Y |

Mean |
47 | 96 |

Variance |
64 | 81 |

**Q.4** 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 the problem will be solved by any two of them?

**Q.5** Two types of batteries X and Y are tested for their length of life and the following results are obtained:

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

Battery | Sample size | Mean (Hr.) | Std. Deviation (Hr.) |

X | 100 | 1000 | 10 |

Y | 120 | 1020 | 11 |

**Q.6** What is the major purpose of hypothesis testing? The major purpose of hypothesis testing?

**Q.7** The mean weekly sales of soap bars in departmental stores were 146.3 bars per store. After an advertising campaign, 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 campaign success

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

**Q.8** 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**

**Q.1** 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:

- What is the average income of the respondents in the village A and B put together?
- in which village is the variation in income greater?

Particulars |
Village A |
Village B |

No. | 600 | 500 |

Average income(rs) | 175 | 186 |

Standard deviation(rs) | 10 | 9 |

**Q.2** 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. Given area under the standard normal curve (between z=0 and z=2)

Z |
0 | 0.5 | 1.0 | 1.5 | 2.0 |

Area |
0.0000 | 0.1915 | 0.3413 | 0.4332 | 0.4772 |

- 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 the F-test 5% level of significance? [Critical value at 5% significance is F (10,*) = 3.35]