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Download BU (Bangalore University) MBA 1st Semester 2019 Feb Statistics for Management Question Paper

Download BU (Bangalore University) MBA (Master of Business Administration) 1st Semester 2019 Feb Statistics for Management Question Paper

This post was last modified on 28 January 2020

BU MBA Last 10 Years 2010-2020 Previous Question Papers || Bangalore University (1st, 2nd, 3rd & 4th Sem)


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I Semester M.B.A. Examination, February 2019

(CBCS Scheme)

Management

Paper - 1.4: STATISTICS FOR MANAGEMENT

Time: 3 Hours

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Max. Marks: 70

Instructions: 1) Calculators and appropriate statistical tables are allowed.

2) Provide the graph sheet.

SECTION -A

Answer any five questions. Each question carries five marks. (5×5=25)

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  1. Explain the importance of statistics in management.
  2. Write short notes on:
    1. Null hypothesis
    2. Alternative hypothesis
    3. Type I and Type II error.
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  4. A bag contains 5 white and 6 red marbles. Another bag contains 4 white and 7 red marbles. Two marbles are drawn from the selected bag. What is the probability that selected bag contains (a) white marbles (b) one white and one red marble.
  5. Fit a linear trend for the following data and forecast for the next two years (A graph is necessary).
    Year Sale of sugar '000 kgs
    2012 80
    2013 90
    2014 92
    2015 94
    2016 96
    2017 98
  6. Derive Chi-square statistic by stating suitable null and alternative hypothesis. Use 1% level of significance.
    The data given below is regarding infavour of against and indifferent to a National Policy on FDI.
    Occupation Favour of Against Indifferent
    Social workers 80 30 10
    Lawyers 70 60 20
    University students 60 60 40
  7. Calculate Karl Pearson's and Bowley's coefficient of skewness for the marks obtained by students of 2 institutions.
    Measure Institution A Institution B
    Mean 65 70
    Standard deviation 10 14
    Middle quartile 65 64
    Third quartile 87 102
    First quartile 28 35
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  9. The average height of 1000 students are normally distributed. Its mean is 72 inches and standard deviation is 2 feet. Find
    1. The number of students whose height is more than 68 inches.
    2. The number of students whose height will be between 5.5 feet and 6.25 feet.

SECTION -B

Answer any three questions. Each question carries 10 marks.

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(3x10=30)

  1. What is non parametric test ? Explain the different types of test used in the statistical analysis.
  2. Calculate the ideal index and test for the time reversal and factor reversal test for the following data.
    Commodity 2017 2018
    Price Expenditure Price Expenditure
    A 30 1350 22 990
    B 32 1344 24 840
    C 30 1200 25 1200
    D 35 2100 27 1161
    E 36 900 28 1036
  3. An investment company speculates about the relationship between family incomes and their allocation for investments. A survey of 8 randomly selected families gives the following data.
    Annual income in '000 Rs. Percent allocation for investment
    18 28
    21 36
    19 32
    34 40
    23 35
    30 55
    36 60
    39 70
    1. Develop the regression equations to describe the data.
    2. What could be the percentage of income allocated to investment by a family earnings Rs. 27,500 per annum ?
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  4. A businessman from Delhi wishes to sell his products in Bangalore. He can set up a showroom in the city or can sell through a wholesaler. Setting up a showroom will entail cost of Rs. 7,25,000 with a 65% probability of success. If the showroom succeeds, he can get a net profit of Rs. 12,25,000 per year. If it fails, he can either shutdown the showroom or rent it out for an annual rent of Rs. 4,25,000 (for rest of the year). The probability that he gets rent for the showroom is 45%.
    If he sells through a wholeseller, he incurs Rs. 3,25,000 initial costs. The chances of selling successfully are 48% with a net profit of Rs. 6,20,000 per year.
    1. Advise the businessman on the best decision.
    2. How is the decision tree analysis useful in business decision?
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SECTION - C

12. Compulsory : (1x15=15)

A manufacturer of perfumes wishes to launch a new perfume in 4 different fragrances. Test marketing in 5 different cities has given the following data. Is there a significant difference in the sales figures of the various fragrances ?

Lavender Rose Lily Daisy
City A 80 100 95 70
City B 82 110 90 75
City C 88 105 100 82
City D 85 115 105 88
City E 75 90 80 65

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This download link is referred from the post: BU MBA Last 10 Years 2010-2020 Previous Question Papers || Bangalore University (1st, 2nd, 3rd & 4th Sem)