# Download GTU MBA 2016 Winter 1st Sem 2810007 Quantitative Analysis I Question Paper

Download GTU (Gujarat Technological University) MBA (Master of Business Administration) 2016 Winter 1st Sem 2810007 Quantitative Analysis I Previous Question Paper

Page 1 of 3

Seat No.: ________ Enrolment No.___________

GUJARAT TECHNOLOGICAL UNIVERSITY
MBA ? SEMESTER 01? ? EXAMINATION ? WINTER 2016
Subject Code:2810007 Date: 02/01/2017
Subject Name: Quantitative Analysis-I
Time: 10.30 a.m. to 01.30 p.m. Total Marks: 70

Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
4. Scientific calculator & statistical table (Z, t, F & chi square) are permitted.

Q.1 (a) Answer all the following multiple choice questions. 06
1. The rejection and not rejection regions are divided by a point called the _______.
A. Divisional value B. Critical value
C. Rejection value D. Table value
2. The matched-pairs t test deals with _______.
A. Independent samples B. Average sample
C. Large sample D. Related sample
3. Analysis of variance tests use the _______.
A. Z distribution B. t- distribution
C. A distribution D. F distribution
4. A measure of the degree of relatedness of two variables is _______.
A. Regression B. Correlation
C. Degree of association D. Least square relationship
5. In regression, the predictor is called the _______.
A. Dependent variable B. Independent variable
C. Standard error D. R square
6. In regression analysis, R is also called the _______.
A. Residual B. Co efficient of correlation
C. Error D. Co efficient of determination

Q.1 (b) Define the following terms. 04
1.
2.
3.
4.
Mode
Co efficient of skewness
Independent events
Kurtosis

Q.1 (c) Explain Empirical rule for normally distributed data. 04

Q.2 (a) What is correlation? Determine the value of the coefficient of correlation for the
following data.
X 158 296 87 110 436
Y 349 510 301 322 550

07
(b) According to the labor statistics in India, 75 % of the women of 25 to 50 years age
group participate in labor force. Suppose 78 % of the women in that age group are
married. Suppose also that 61% of all women of 25 to 50 years age group are married
and are participating in the labor force.
What is the probability that a randomly selected woman in that age group is married or
07
FirstRanker.com - FirstRanker's Choice
Page 1 of 3

Seat No.: ________ Enrolment No.___________

GUJARAT TECHNOLOGICAL UNIVERSITY
MBA ? SEMESTER 01? ? EXAMINATION ? WINTER 2016
Subject Code:2810007 Date: 02/01/2017
Subject Name: Quantitative Analysis-I
Time: 10.30 a.m. to 01.30 p.m. Total Marks: 70

Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
4. Scientific calculator & statistical table (Z, t, F & chi square) are permitted.

Q.1 (a) Answer all the following multiple choice questions. 06
1. The rejection and not rejection regions are divided by a point called the _______.
A. Divisional value B. Critical value
C. Rejection value D. Table value
2. The matched-pairs t test deals with _______.
A. Independent samples B. Average sample
C. Large sample D. Related sample
3. Analysis of variance tests use the _______.
A. Z distribution B. t- distribution
C. A distribution D. F distribution
4. A measure of the degree of relatedness of two variables is _______.
A. Regression B. Correlation
C. Degree of association D. Least square relationship
5. In regression, the predictor is called the _______.
A. Dependent variable B. Independent variable
C. Standard error D. R square
6. In regression analysis, R is also called the _______.
A. Residual B. Co efficient of correlation
C. Error D. Co efficient of determination

Q.1 (b) Define the following terms. 04
1.
2.
3.
4.
Mode
Co efficient of skewness
Independent events
Kurtosis

Q.1 (c) Explain Empirical rule for normally distributed data. 04

Q.2 (a) What is correlation? Determine the value of the coefficient of correlation for the
following data.
X 158 296 87 110 436
Y 349 510 301 322 550

07
(b) According to the labor statistics in India, 75 % of the women of 25 to 50 years age
group participate in labor force. Suppose 78 % of the women in that age group are
married. Suppose also that 61% of all women of 25 to 50 years age group are married
and are participating in the labor force.
What is the probability that a randomly selected woman in that age group is married or
07
Page 2 of 3

is participating in the labor force? What is the probability that a randomly selected
woman in that age group is neither married nor participating in the labor force?
OR
(b) In a manufacturing plant, machines A, B, and C all produce the same two parts, W and
M. Of all the parts produced, machine A, produces 60 %, machine B produces 30 %
and machine C produces 10 %. 40 % of the parts made by machine A are part W. 50
% of the parts made by machine B are part W and 70 % of the parts made by machine
C are part W. A part produced by this company is randomly selected and is
determined to be a W part. With the knowledge that it is an W part, revise the
probabilities that the part came from machine A, B or C.
07

Q.3 (a) Explain mean, standard deviation, length of uniform distribution, height of uniform
distribution and probabilities of uniform distribution.
07
(b) The Retail world lists the top 17 Indian retailers in annual sales. Star bazzar is number
one followed by Big bazzar and Reliance Mart. Of the 17 retailers on the list, eight are
in some type of private label related business. Suppose four firms are randomly
selected. What is probability that none of the retailers are in some type of private label
business? What is the probability that all four firms are in some type of private label
business?
07
OR
Q.3 (a) Discuss any two non probability sampling methods. 07
(b) Suppose the average speeds of passenger trains traveling from Delhi to Ahmedabad
are normally distributed. The mean average speed of 88 miles per hour and a standard
deviation of 6.4 miles per hour. What is the probability that a train will average less
than 70 miles per hour? What is the probability that a train will average more than 80
miles per hour? What is the probability that a train will average between 90 and 100
miles per hour?
07

Q.4 (a) Explain Co efficient of Determination and Standard error of estimate. 07
(b) A major auto manufacturer wants to know whether there is any difference in the
average mileage of four different brands of tires, because the manufacturer is trying to
select the best supplier in terms of tire durability. The manufacturer selects
comparable levels of tires from each company and test some on comparable cars. The
mileage results follow.
Brand A 31000, 25000, 28000, 29000, 32000, 27500
Brand B 24000, 25500, 27000, 26500, 25000, 28000, 27500
Brand C 30500, 28000, 32500, 28000, 31000
Brand D 24500, 27000, 26000, 21000, 25500, 26000
Use 0.05 significance level to test whether there is a significant difference in the mean
mileage of these four brands. Assume tire mileage is normally distributed.
07
OR
Q.4 (a) Discuss the application of regression analysis in detail. 07
(b) Are the type of professional jobs held in the computing industry independent of the
number of years a person has worked in the industry? Suppose 246 workers are
interviewed. Use the results obtained to determine whether type of professional job
held in the computer industry is independent of years worked in the industry. Use 0.01
significance level.
Professional positions
Years
Manager Programmer Operator System Analyst
0-3 6 37 11 13
4-8 28 16 23 24
>8 47 10 12 19

07

FirstRanker.com - FirstRanker's Choice
Page 1 of 3

Seat No.: ________ Enrolment No.___________

GUJARAT TECHNOLOGICAL UNIVERSITY
MBA ? SEMESTER 01? ? EXAMINATION ? WINTER 2016
Subject Code:2810007 Date: 02/01/2017
Subject Name: Quantitative Analysis-I
Time: 10.30 a.m. to 01.30 p.m. Total Marks: 70

Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
4. Scientific calculator & statistical table (Z, t, F & chi square) are permitted.

Q.1 (a) Answer all the following multiple choice questions. 06
1. The rejection and not rejection regions are divided by a point called the _______.
A. Divisional value B. Critical value
C. Rejection value D. Table value
2. The matched-pairs t test deals with _______.
A. Independent samples B. Average sample
C. Large sample D. Related sample
3. Analysis of variance tests use the _______.
A. Z distribution B. t- distribution
C. A distribution D. F distribution
4. A measure of the degree of relatedness of two variables is _______.
A. Regression B. Correlation
C. Degree of association D. Least square relationship
5. In regression, the predictor is called the _______.
A. Dependent variable B. Independent variable
C. Standard error D. R square
6. In regression analysis, R is also called the _______.
A. Residual B. Co efficient of correlation
C. Error D. Co efficient of determination

Q.1 (b) Define the following terms. 04
1.
2.
3.
4.
Mode
Co efficient of skewness
Independent events
Kurtosis

Q.1 (c) Explain Empirical rule for normally distributed data. 04

Q.2 (a) What is correlation? Determine the value of the coefficient of correlation for the
following data.
X 158 296 87 110 436
Y 349 510 301 322 550

07
(b) According to the labor statistics in India, 75 % of the women of 25 to 50 years age
group participate in labor force. Suppose 78 % of the women in that age group are
married. Suppose also that 61% of all women of 25 to 50 years age group are married
and are participating in the labor force.
What is the probability that a randomly selected woman in that age group is married or
07
Page 2 of 3

is participating in the labor force? What is the probability that a randomly selected
woman in that age group is neither married nor participating in the labor force?
OR
(b) In a manufacturing plant, machines A, B, and C all produce the same two parts, W and
M. Of all the parts produced, machine A, produces 60 %, machine B produces 30 %
and machine C produces 10 %. 40 % of the parts made by machine A are part W. 50
% of the parts made by machine B are part W and 70 % of the parts made by machine
C are part W. A part produced by this company is randomly selected and is
determined to be a W part. With the knowledge that it is an W part, revise the
probabilities that the part came from machine A, B or C.
07

Q.3 (a) Explain mean, standard deviation, length of uniform distribution, height of uniform
distribution and probabilities of uniform distribution.
07
(b) The Retail world lists the top 17 Indian retailers in annual sales. Star bazzar is number
one followed by Big bazzar and Reliance Mart. Of the 17 retailers on the list, eight are
in some type of private label related business. Suppose four firms are randomly
selected. What is probability that none of the retailers are in some type of private label
business? What is the probability that all four firms are in some type of private label
business?
07
OR
Q.3 (a) Discuss any two non probability sampling methods. 07
(b) Suppose the average speeds of passenger trains traveling from Delhi to Ahmedabad
are normally distributed. The mean average speed of 88 miles per hour and a standard
deviation of 6.4 miles per hour. What is the probability that a train will average less
than 70 miles per hour? What is the probability that a train will average more than 80
miles per hour? What is the probability that a train will average between 90 and 100
miles per hour?
07

Q.4 (a) Explain Co efficient of Determination and Standard error of estimate. 07
(b) A major auto manufacturer wants to know whether there is any difference in the
average mileage of four different brands of tires, because the manufacturer is trying to
select the best supplier in terms of tire durability. The manufacturer selects
comparable levels of tires from each company and test some on comparable cars. The
mileage results follow.
Brand A 31000, 25000, 28000, 29000, 32000, 27500
Brand B 24000, 25500, 27000, 26500, 25000, 28000, 27500
Brand C 30500, 28000, 32500, 28000, 31000
Brand D 24500, 27000, 26000, 21000, 25500, 26000
Use 0.05 significance level to test whether there is a significant difference in the mean
mileage of these four brands. Assume tire mileage is normally distributed.
07
OR
Q.4 (a) Discuss the application of regression analysis in detail. 07
(b) Are the type of professional jobs held in the computing industry independent of the
number of years a person has worked in the industry? Suppose 246 workers are
interviewed. Use the results obtained to determine whether type of professional job
held in the computer industry is independent of years worked in the industry. Use 0.01
significance level.
Professional positions
Years
Manager Programmer Operator System Analyst
0-3 6 37 11 13
4-8 28 16 23 24
>8 47 10 12 19

07

Page 3 of 3

Q.5 The Environment protection agency (EPA) releases figures on urban air soot in
selected cities in the India. For the city of Mumbai, the EPA claims that the average
number of micrograms of suspended particles per cubic meter of air is 82. Suppose
Mumbai officials have been working with businesses, commuters and industries to
reduce this figure. These city officials hire an environmental company to take random
measures of air soot over a period of several weeks. The resulting data from 32
measurements mention here.

81.6 66.6 70.9 82.5 58.3 71.6 72.4 96.6 78.6 76.1 80.0 73.2 85.5 73.2 68.6 61.7
74.0 68.7 83.0 86.9 94.9 75.6 77.3 86.6 71.7 88.5 87.0 72.5 83.0 85.8 74.9 92.2

Use these data to determine whether the urban air soot in Mumbai is significantly
lower than it was when the EPA conducted its measurements. Use alpha 0.01.
14
OR
Q.5 Eleven employees were put under the care of the company nurse because of high
cholesterol readings. The nurse lectured them on the dangers of this condition and put
them on a new diet program. The following table is the cholesterol readings of the 11
employees both before the new diet and one month after use of the diet program.
Make the statement of hypothesis. Test the hypothesis that the program was successful
with its objective. Use 5 % significance level to test the hypothesis. Assume the
differences in cholesterol readings are normally distributed in the population.

Employee 1 2 3 4 5 6 7 8 9 10 11
Before 255 230 290 242 300 250 215 230 225 219 236
After 197 225 215 215 240 235 190 240 200 203 223

14

*************
FirstRanker.com - FirstRanker's Choice

This post was last modified on 19 February 2020