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Download GTU MBA 2018 Summer 1st Sem 3519207 Business Statistics Bs Question Paper

Download GTU (Gujarat Technological University) MBA (Master of Business Administration) 2018 Summer 1st Sem 3519207 Business Statistics Bs 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.

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GUJARAT TECHNOLOGICAL UNIVERSITY

MBA - SEMESTER 01- EXAMINATION - SUMMER-2018

Subject Code: 3519207

Subject Name: Business Statistics (BS)

Time: 10:30AM To 1:30 PM

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Date:04/05/2018

Total Marks: 70

Instructions:

  1. Attempt all questions.
  2. Make suitable assumptions wherever necessary.
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  4. Figures to the right indicate full marks.

Q.1 Explain following terms 14

  1. coefficient of variation
  2. marginal probability
  3. multicollinearity
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  5. autocorrelation
  6. family budget and cost of living index
  7. cyclical variations
  8. Random experiment

Q.2 A. Find mean, median and mode for following data 07

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Age Frequency
15-20 9
20-25 16
25-30 27
30-35 44
35-40 42
40-45 23
45-50 7
50-55 2

B. Write a note on decision theory 07

OR

Write a note on statistical graphs and charts 07

Q.3 A Assume that a factory has two machines. Past records show that machine 1 07 produces 30 % of the items of output and machine 2 produces 70 percent of items. Further 5 % of the items produced by machine 1 were defective and only 1 % 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 or machine 2?

B 1. 1555 2. 15%5 07

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OR

A For given data construct laspeyre quantity index and paasche quantity index. (base year 1998)

item Quantity in 1998 Quantity in 2005 Price per unit in 1998 Price per unit in 2005
1 4 8 100 150
2 5 12 55 110
3 6 8 75 145
4 5 8 85 165
5 8 15 75 155

Q.4 A service station has a pump that distributes diesel fuel to automobiles. The station owner estimates that only about 4 cars use the diesel pump every two hours. Assume the arrivals of diesel pump users are Poisson distributed. a. what is the probability that three cars will arrive to use the diesel pump during a 1- hour period? b. supposes the owner needs to shut down the diesel pump for half an hour to make repairs. However, the owner hates to lose any business. What is the probability that no cars will arrive to use the diesel pump during a half hour period? 07

B Noida realty corporation has purchased land in the outskirts of greater Noida to develop an integrated township. NRC has three alternatives, namely to develop a township to house 10,000-families or to develop a golf course with 1000 luxury villas or to develop an integrated software complex with 6000 apartments and office space 0f 25000 sq. ft. The company foresees two states of nature, namely a situation where there is a strong demand for the project or a situation where there is a weak demand for the project. Following table provides the details of the payoff for the various decision alternatives. There is 65 % probability that there will be strong demand. Construct decision tree to graphically represent the decision scenario and using the expected value criterion. Select the alternative with the highest expected payoff. 07

Decision alternative State of nature
Strong demand Weak demand
An integrated township to house 10000 families 10 3
A golf course with 1000 luxury villas 25 3
An integrated software complex 20 3

Q.5 A Write a detail note on correlation and regression. Discuss difference between simple regression and multiple regression using example. 07

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OR

The lifetime of certain kinds of electronic devices will have a mean of 300 hours and standard deviation of 25 hours. Assuming that the distribution of these lifetimes, which are measured to be the nearest hours, can be approximated closely with a normal curve, 07

  1. What percentage will have lifetime of 350 hours or less?
  2. What percentage will have lifetimes from 220 or 260 hours?

B Fit the trend line and calculate trend for the year 1960. 07

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X Y
1950 28
1951 35
1952 42
1953 10
1954 22
1955 39
1956 28

Consider following observations: 14 123,250,352,143,112,324,256,235,412,156 Prepare five point summary Prepare box and whisker plot

OR

Find mean and standard deviation Find range, P80 and D7.


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