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MBA 1st Year Semester Mock Papers Practise Set 2 Section Wise Questions

MBA 1st Year Semester Mock Papers Practise Set 2 Section Wise Questions

MBA 1st Year Semester Mock Papers Practise Set 2 Section Wise Questions

MBA 1st Year Semester Mock Papers Practise Set 2 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.

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MBA 1st Year Semester Mock Papers Practise Set 2 Section Wise Questions
MBA 1st Year Semester Mock Papers Practise Set 2 Section Wise Questions

Section A


Q.1 Differentiate between parameters and statistics.

Q.2 Distinguish between skewness and kurtosis.

Q.3 Define index numbers with suitable examples.

Q.4 Define price, quantity, and value relatives.

Q.5 Differentiate between correlation and regression.

Q.6 Write short notes on the following:

  • Partial correlation.
  • Multiple correlations.

Q.7 Write a short note on conditional probability.

Q.8 Write a note on techniques of association of the attributes.

Q.9 What is analysis of variance? Explain its testing procedure when data is classified according to two ways.

Q.10 what is data? Give two examples of primary and secondary data.


Section B


Q.1 Write a detailed note on the cost of living index numbers.

Q.2 Following is the distribution of marks of 50 students in a class. Calculate the median.

Marks (more than) 0 10 20 30 40 50
No. of students 50 46 40 20 10 3

Q.3 Below are given the figures of production (in thousand tones) of a fertilizer factory. Fit a straight line trend by the method of least squares and estimate trend value for 2005.

Year 1997 1998 1999 2000 2001 2002 2003
Production 70 75 90 98 84 91 99

Q.4 Define probability distribution. Explain the salient features of Binomial, Poisson, and Normal distribution.

Q.5 Assume that the factory has two machines Machine 1-and machine-2. Past records show that machine-1 Produces 30% of the items of output and machine-2  produces 70% of the items further, 5% of the items produced by the machine-1 were defective and only 1% of the items produced by machine-2 were defective. If a defective item is drawn at random, what is the probability that the defective item was produced by machine-1?

Q.6 what is a test of significance? Discuss its procedures.

Q.7 Find Yule’s coefficient of association between literacy and unemployment from the following data:

  • Illiterate unemployed = 220
  • Literate employed = 20
  • Illiterate employed = 180
  • total pass-out = 500.

Q.8 Ten workers of a factory are selected at random. The number of units produced by them on a working day was as follows:

71, 72, 73, 75, 76, 77, 78, 79, 80.

On the basis of the given data, is it reasonably correct to say that the mean number units produced by them is 78? four= 9 to 0.05 = 2.262


Section C


Q.1 Compute the fisher’s index number for 2014 on the basis of 2009 with the following information:

Commodity 2009 2014
Price Quantity Price Quantity
A 5 10 4 12
B 8 6 7 7
C 6 4 5 3

Q.2 The average daily sales of 500 branch offices was Rs. 1,50,000 and the standard deviation Rs, 15,000. Assuming the distribution to be normal, indicate how many branches have sales between.

  • Rs 1,20,000 and Rs 1,45,000?
  • Rs 1,40,000 and Rs 1,65,000?

Q.3 A drug is said to be useful for the treatment of a cold. In an experiment carried out on 160 persons suffering from cold, half of the persons were treated with the drug and the rest of the half with sugar pills. The effect of treatment is described in the following table:

  Helped Harmful No effect
Drug 52 10 18
Sugar pills 44 10 26

(For 2 d.f. the value of x2 is 5.99 at 5% level)

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