Download JNTU-Hyderabad MBA 1st Sem R17 2019 May 741AD Business Statistics Question Paper

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R17

JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

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MBA I Semester Examinations, April/May-2019

BUSINESS STATISTICS

Time: 3hours

Max.Marks:75

Note: This question paper contains two parts A and B.

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Part A is compulsory which carries 25 marks. Answer all questions in Part A. Part B consists of 5 Units. Answer any one full question from each unit. Each question carries 10 marks and may have a, b, c as sub questions.

PART - A

5 × 5 Marks = 25

1. a) The mean height of 25 male workers in a factory is 61 inches and the mean height of 35 female workers in the same factory is 58 inches. Find the combined mean height of 60 workers in the factory. [5]
2. b) Distinguish between mean deviation and standard deviation. [5]

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3. c) Write about parts of a Table? [5]
4. d) Explain about F-test. [5]
5. e) Write the characteristics of Index Numbers. [5]

PART - B

5 × 10 Marks = 50

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1. Define statistics? Write the uses and limitation of statistics? [10]
   OR
2. Compute the missing frequency from the following data? [10]
   Income (rs) 0-10 10-20 20-30 30-40 40-50 50-60
   No of persons 5 15 20 - 20 10

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3. Calculate karl pearson's co-efficient of co-relation from the following data? [10]
   student roll no 1 2 3 4 5
   Marks in accounts 48 35 17 23 47
   Marks in statistics 45 20 40 25 45
   OR

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4. Compute Bowley's co-efficient of skewness for the data given below: [10]
   Marks 0-10 10-20 20-30 30-40 40-50 50-60 60-70 70-80
   No of
   Students 8 10 12 40 56 44 26 4
5. Define Diagram. Explain the types of Diagrams and brief on methods of data tabulation. [10]
   

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   OR
6. Briefly explain the properties and applications of t-Distribution? [10]
7. Explain the procedure for testing the hypothesis?
   OR
8. From the following information construct two regression equations.
   

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   X = 68,
   Y = 150, σχ 2.5 σγ = 20 r = 0.60 [10]
9. Fit a straight line trend for the following series. Estimate the value for 2012: [10]
   Year
   Production of 60
   

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   steel (tonnes)
   72
   2001 2002 2003
   75
   2004
   

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   2005
   2006
   2007
   65
   80
   

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   85
   95
   OR
10. Construct index numbers of price from the following data by applying laspeyres and paasche methods. [10]
    Commodity
    

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    2006
    2007
    Price
    A
    2
    

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    Quantity
    8
    Price
    4
    Quantity
    

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    6
    B
    5
    10
    6
    

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    5
    C
    4
    14
    5
    

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    10
    D
    2
    19
    2
    

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    13