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Register Number : Name of the Candidate : 1 1 5 6 B.Com. DEGREE EXAMINATION, 2009 ( SECOND YEAR ) ( PART - IV ) ( PAPER - I ) 231 / 620 / 630. BUSINESS STATISTICS ( Including Lateral Entry and Double Degree ) [ ( Common with B.Com., (I.B.) and B.Com. (Accounting & Finance ) ] May ] [ Time : 3 Hours Maximum : 100 Marks Answer any FIVE questions. All questions carry equal marks. (5 × 20 = 100) 1. (a) Explain any one method of collecting primary data. (b) Mention the advantages and disadvantages of secondary data. Turn over 7. ŒÚ ÔVÈ›ÿ>V¶ÏkˆÁƒlK^· º√V¬˛Á™ ¿¬zk>uzˆB ∞º>–D ÷Ú xÁ≈ÔÁ· skˆ¬Ô. 8. ÈV¸∏BÏ, √V‚ƒ¸ \uÆD, ∏≠ˆ[ sÁȬ z§X‚| ®ıÔÁ·¬ Ô¬˛‚|, ÔV´Ë ]Ú©Afl ºƒV>Á™ÁB ƒˆ√VϬ԰D. 9. ∏[kÚD s√´∫Ô”¬z ®πB ÷≈©A s˛>D \uÆD, WÁÈ©√|›]B ÷≈©A s˛>D g˛BkuÁ≈¬ Ô¬˛|Ô : 10. ŒÚ Ô_ŸˆlK^· \VkÏÔπ[ ƒJÔ \uÆD, ÿ√VÚ·V>V´ WÁÈlÁ™¬ Ôı¶§k>uz ŒÚ s™V© √‚ΩB_ >BVˆ¬Ô°D. 1995 2000 1995 2000 A 80 105 4 6 B 15 30 2 3 C 8 14 3 4 D 35 80 1 2 E 160 210 5 5 ÿ√VÚ^ sÁÈ ®ıˬÁÔ 8 kBm ∏ˆ° (kÚ¶›]_) \¬Ô^ ÿ>VÁÔ ÷≈©A ®ıˬÁÔ 5 - ¬z ˇμ 15,000 360 5 - ¬zD 30 - ¬zD ÷Á¶l_ 20,000 400 30 - ¬z º\_ 10,000 280

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  • Register Number :

    Name of the Candidate :

    1 1 5 6

    B.Com. DEGREE EXAMINATION, 2009

    ( SECOND YEAR )

    ( PART - IV )

    ( PAPER - I )

    231 / 620 / 630. BUSINESS STATISTICS

    ( Including Lateral Entry and Double Degree )

    [ ( Common with B.Com., (I.B.) andB.Com. (Accounting & Finance ) ]

    May ] [ Time : 3 Hours

    Maximum : 100 Marks

    Answer any FIVE questions.All questions carry equal marks.

    (5 20 = 100)

    1. (a) Explain any one method of collectingprimary data.

    (b) Mention the advantages and disadvantagesof secondary data.

    Turn over

    7 . V>VklK^ V

    zk>uzB >D x

    sk.

    8 . VB, V \uD, [ s

    zX| |, V

    ]A V>B VD.

    9 . [kD sz B A s>D

    \uD, W|]B A s>D

    gBku | :

    10. _lK^ \Vk[ J \uD,

    VV>V Wl k>uz

    sV B_ >BVD.

    1995 2000 1995 2000A 80 105 4 6B 15 30 2 3C 8 14 3 4D 35 80 1 2E 160 210 5 5

    V^s

    8

    kBm

    (k]_) \^ >VA

    5 - z 15,000 3605 - zD 30 - zD l_ 20,000 40030 - z \_ 10,000 280

  • 2. (a) Draw Ogive curves for the following dataand find out median :

    (b) Discuss the quantitative classification ofdata.

    3. (a) Mention the properties of a good average.

    (c) Compute arithmetic mean, median andmode for the following frequencydistribution :

    2

    Class Frequency 0 - 5 6

    5 - 10 10

    10 - 15 4

    15 - 20 12

    20 - 25 8

    25 - 30 2

    X F10 - 14 1515 - 19 1820 - 24 2825 - 29 3030 - 34 1535 - 39 1040 - 44 5

    4 . () Vs s|k>uV

    kk x kB.

    (g) kD kKz V_BM[

    Vs | :

    5. \VBBV[ |s

    kB Fm, s [kD

    sz D.

    6 . V[B[ xl B[|] 35

    kB]uz zukV[ >T>>

    | :

    |gzukV^

    >T>D

    25 - z 1530 - z 2440 - z 3850 - z 51

    7

    Turn over

    X : 45 81 103 125 160 205 210 245Y : 150 165 184 205 210 225 240 264

    q f 5 - 15 1015 - 25 2025 - 35 3035 - 45 4045 - 55 5055 - 65 6065 - 75 7075 - 85 80

  • 2 . () [kD sz { k

    km, WB | :

    (g) A^sV V>

    kX sz.

    3 . () _ Vl[ A

    z|.

    (g) [kD k kKz

    |V, W \uD, x|

    gBku | :

    0 - 5 6

    5 - 10 10

    10 - 15 4

    15 - 20 12

    20 - 25 8

    25 - 30 2

    X F10 - 14 1515 - 19 1820 - 24 2825 - 29 3030 - 34 1535 - 39 1040 - 44 5

    6 3

    4. (a) Define different methods of measuringco-efficient of skewness.

    (b) Compute Karl Pearsons co-efficient ofskewness for the following distribution :

    5. Define correlation between two variables andcompute the co-efficient of correlation for thedata given below :

    Class f 5 - 15 10

    15 - 25 20

    25 - 35 30

    35 - 45 40

    45 - 55 50

    55 - 65 60

    65 - 75 70

    75 - 85 80

    X : 45 81 103 125 160 205 210 245

    Y : 150 165 184 205 210 225 240 264

    Turn over

  • 9. Compute crude death rate and standardiseddeath rate for the following information :

    10. Prepare a questionnaire to collect informationfrom the students of a college about theirsocial and economic status.

    >twVD>twVD>twVD>twVD>twVD

    kBD nmnmnmnmnm sVz sB.

    m m m m m sVzD \ \ \ \ \ \]^.

    (5 20 = 100)

    1 . () x>_W A^s

    >uV >D xB

    sk.

    (g) VDW A^sV

    [\ y\ z|.

    Age group(in years) Population

    No. ofdeaths

    Below 5 15,000 360

    Between 5 and 30 20,000 400Above 30 10,000 280

    5

    Turn over

    6. Determine the percentage of criminals under35 years of age using Lagranges method :

    7. Explain any two methods of eliminating trendin a time series.

    8. Compute Laspeyres, Paasches and Fishersprice index numbers and check if they satisfythe factor reversal test :

    Age % Criminals

    Under 25 yrs. 15

    Under 30 yrs. 24

    Under 40 yrs. 38

    Under 50 yrs. 51

    1995 2000 1995 2000

    A 80 105 4 6

    B 15 30 2 3

    C 8 14 3 4

    D 35 80 1 2

    E 160 210 5 5

    CommodityPrice Quantitiy

    4