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Download GTU MBA 2016 Summer 1st Sem 810007 Quantitative Analysis Question Paper

Download GTU (Gujarat Technological University) MBA (Master of Business Administration) 2016 Summer 1st Sem 810007 Quantitative Analysis Previous Question Paper

This post was last modified on 19 February 2020

GTU MBA Last 10 Years 2010-2020 Question Papers || Gujarat Technological University


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Seat No.: Enrolment No.:

GUJARAT TECHNOLOGICAL UNIVERSITY

MBA - SEMESTER - I - EXAMINATION - SUMMER 2016

Subject Code : 810007 Date : 21/05/2016

Subject Name: Quantitative Analysis (QA)

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Time : 10.30 am to 01.30 pm Total Marks : 70

Instructions :

  1. Attempt all questions.
  2. Make suitable assumption wherever necessary.
  3. Figure to the right indicate full marks.
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Q.1. (a) Define Statistics and give the Functions and Importance of Statistics. 07

(b) Two dice (Pasaa) are thrown simultaneously, represent the sample space. 07

What is a probability of getting a total score less than 11.

Q.2. (a) Explain in brief the types of sampling and advantages and disadvantages 07

of sampling. (only two points)

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(b) The mean and variance of a binomial distribution are 15 and 6 respectively. 07

Find the value of n and p.

OR

(b) For a poisson variate P (1) =P (2) Find the value of P (0) 07

Q.3. (a) Define the hypothesis. What is null hypothesis and alternate hypothesis? 07

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Explain with an example.

(b) The following yields are obtaining by using three fertilizers in different 07

plots.

Fertilizer Yield

A 1 4 3 3

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B 6 5 4 2

C 7 3 5 6

Test the hypothesis that there is no significance difference between the fertilizer.

OR

(a) Explain the ANOVA (Analysis of variance — one way) technique. 07

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(b) To access the significance of possible variation in performance in a certain 07

test between the English schools of a city, a common test was given to a

number of 5 students taken at random from the senior fifth class of each of

the four schools concerned. The results are given below. Make an analysis

of Variance of data. (Given that F0.05 for v1 =3, v2 = 16 is 3.24, at 5% level

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of significance).

Schools Marks of the Students

A 8 10 12 8 7

B 12 11 9 14 4

C 18 12 16 6 8

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D 13 9 12 16 15

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Q.4. (a) Explain the uses and limitations of Chi-square (x2) 07

(b) Find the multiple regression equation of X1 on X2 and X3 from the data 07

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relating to three variation given below.

X1 9 13 15 7 6 4

X2 6 4 3 8 12 15

X3 14 10 4 20 24 30

(Regression Equation of X1 on X2 and X3 is

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X1=a23 +b123 X2 +b132 X3)

OR

(a) What is a meaning of regression analysis ? Explain in detail. 07

(b) From the following data obtain two regression equation. 07

Y 39 41 33 45 50 37 48 36 31

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Z 19 20 15 22 26 21 24 19 14

Q.5. (a) Write a note on index numbers. Briefly explain laspeyres and Paasche 07

price indices.

(b) Find the seasonal variation by the methods of three yearly moving average. 07

Year Price of commodity

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1993 120 140 145

1994 145 160 165

1995 160 168 172

1996 170 174 176

OR

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(a) Explain the components of Time Series Analysis. 07

(b) Calculate laspeyre’s and Paasche’s index numbers from the following data. 07

Commodities Base Year Current year

Quantity Price Quantity Price

(Kg) (Rs.) (Kg) (Rs.)

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A 12 10 15 12

B 15 7 20 5

C 24 5 20 9

D 5 15 5 14

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