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Seat No.: Enrolment
GUJARAT TECHNOLOGICAL UNIVERSITY
MBA SEMESTER I EXAMINATION WINTER 2018
Subject Code: 3519207 Date: 01/01/2019
Subject Name: Business Statistics
Time:10:30 am 1:30 pm Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
Q.1
Explain following terms with examples
Range of a data set
Independent variable
Mutually exclusive events
Seasonal variation
Median of ungrouped data
Discrete random variable
Relative Frequency
14
Q.2

What is a Correlation? What are the types of Correlation?
07

The prices of agricultural commodities for 2013 and 2016 for the month of December are given below along with the quantities consumed commodities in 2013.
Commodities
Prices
Quantity (lbs.) for 2013
2013
2016
Rice
20
40
8
Wheat
50
60
10
Jowar
40
50
15
Cotton
20
20
20
Calculate Laspeyre's Index by keeping 2013 as base year.
07
OR

Determine a regression line equation for the following two variables to predict y from
07
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x
14
16
17
20
22
24
30
33
40
y
4
2
6
8
4
9
10
12
15
Q.3

Explain three components of Time-series except Seasonal variation.
07

Calculate Mean, Median, Variance and Standard Deviation for the following data set.
12, 14, 10, 13, 10, 4
07
OR
Q.3

Write a short note on Measures of Shape.
07

Compute Paasche's Index for the following data by keeping the year 1995 as base year.
Commodities
Quantity (units)
Price
1995
2000
1995
2000
A
100
150
5
6
B
80
100
4
5
C
60
72
2.5
5
D
30
33
12
9
07
Q.4

Explain the concept of Autocorrelation in detail.
07

A company launches an advertising campaign of its new product on TV, radio and in print media in an area where 30% watch TV, 50% listen to the radio and the rest rely on news papers for all information. It is estimated that a person who sees the advertisement on TV will buy the product with probability 0.6. A person who has heard it on radio is expected to buy the product with probability 0.3 and seeing the advertisement in print will convince a person to buy the product with probability 0.1. A consumer, chosen at random, is found to have purchased the product. What is the probability she heard about the product on radio?
07
OR
Q.4

Discuss elements of Decision theory.
07

Determine Karl Peasron's co-efficient of correlation and also comment on the relationship between two variables on the basis of the same.
07
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x
133
110
105
115
120
122
130
140
160
165
y
59
70
85
50
111
90
95
75
60
65
Q.5
ELECTRA LMIMITED is the manufacturer of electrical equipment to be used in the production of automobiles. The average life-time of the equipment is 80 hours with a standard deviation of 16 hours. The life-times are normally distributed.

What is the probability that the equipment has a life-time of more than 120 hours?
07

What is the probability that the equipment has a life-time between 90 and 100 hours?
07
OR
Q.5

What is the probability that the equipment has a life-time of less than 65 hours?
07

What is the probability that the equipment has a life-time between 50 and 75 hours?
07