Final Assingment of QTM.

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    2011University ofManagement &technology

    Waiza WaheedSaad SaleemFarah Zaidi

    [STATISTICAL TECHNIQUES IN BUSINESS & ECONOMICS]In statistical techniques in business and economics we study how to describe , display and

    explore data using different measure of central tendency and measure of dispersions, and alsowe see how to represent data in graphs. In this assignment we solve three case studies by usingthese measures.

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    Subject:Statistical Techniques in Business & Economics

    Assignment: Case studies

    Submitted To:Mr.Umer Ayub

    Submitted By:

    Waiza Waheed 104732-114

    Saad Saleem 104732-

    Farah Zaidi 104732-

    Program: MBA (P)3

    Section: A

    School of Business and Economics

    UNIVERSITY OF MANAGEMENT &

    TECHNOLOGY

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    Case Study (A). Century Bank

    Solution:

    x1= Account Balance in $

    x2=Number of ATM transaction in the month

    x3=Number of other Bank services used

    x4=Has a debit card( 1=Yes, 0=No )

    x5=Receives interest on the account ( 1=Yes, 0=No )

    x6=City where banking is done

    x1 x2 x3 x4 x5 x6

    1756 13 4 0 1 2

    748 9 2 1 0 1

    1501 10 1 0 0 1

    1831 10 4 0 1 3

    1622 14 6 0 1 4

    1886 17 3 0 1 1

    740 6 3 0 0 3

    1593 10 8 1 0 1

    1169 6 4 0 0 4

    2125 18 6 0 0 2

    1554 12 6 1 0 3

    1474 12 7 1 0 1

    1913 6 5 0 0 1

    1218 10 3 1 0 1

    1006 12 4 0 0 1

    2215 20 3 1 0 4

    137 7 2 0 0 3

    167 5 4 0 0 4

    343 7 2 0 0 1

    2557 20 7 1 0 4

    2276 15 4 1 0 3

    1494 11 2 0 1 1

    2144 17 3 0 0 3

    1995 10 7 0 0 2

    1053 8 4 1 0 3

    1526 8 4 0 1 2

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    1120 8 6 1 0 3

    1838 7 5 1 1 3

    1746 11 2 0 0 2

    1616 10 4 1 1 2

    1958 6 2 1 0 2

    634 2 7 1 0 4

    580 4 1 0 0 1

    1320 4 5 1 0 1

    1675 6 7 1 0 2

    789 8 4 0 0 4

    1735 12 7 0 1 3

    1784 11 5 0 0 1

    1326 16 8 0 0 3

    2051 14 4 1 0 4

    1044 7 5 1 0 11885 10 6 1 1 2

    1790 11 4 0 1 3

    765 4 3 0 0 4

    1645 6 9 0 1 4

    32 2 0 0 0 3

    1266 11 7 0 0 4

    890 7 1 0 1 1

    2204 14 5 0 0 2

    2409 16 8 0 0 2

    1338 14 4 1 0 22076 12 5 1 0 2

    1708 13 3 1 0 1

    2138 18 5 0 1 4

    2375 12 4 0 0 2

    1455 9 5 1 1 3

    1487 8 4 1 0 4

    1125 6 4 1 0 2

    1989 12 3 0 1 2

    2156 14 5 1 0 2

    Total 618 265 26 16 144

    REQUIREMENT:

    1) Develop a graph or table that portrays the checking balances. What is the balanceof a typical customer? Do many customers have more than $2000 in their

    accounts? Does it appear that there is a difference in the distribution of the

    accounts among the four branches? Around what value do the account balances

    tend to cluster?

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    2) Mean & Median of four branches compare the mean & the median of the fourbranches. Is there a difference among the branches? Explain the difference

    between the mean and the median in your report.

    3) Range and standard deviation of the checking account balances. First and thirdQuartile (Q1 & Q3).Determine the coefficient of skewness and indicate what itshows.

    Q1. The no of ATM transaction in the last

    month

    = 618 no of transactions in the last month

    Q2. The no of other bank services?= 265 no of other bank services

    Q3. Whether the customer has a debit card?

    = 26 peoples have the facility of debt card and remaining 34 peoples have not thefacility of debt card

    Q4. Whether or not interest is paid on the checking account?= 16 peoples have paid interest on checking account and 64 peoples are not paid

    interest on checking account.

    (2). Mean & median of four branches:

    X2 X3 X4 X5

    Mean 10.3 4.416666667 0.433333333 0.266666667

    Median 10 4 0 0

    (C).

    I. Range and standard deviation:X2 X3 X4 X5 X6

    RANGE 18 9 1 1 3

    S.D 4.295444966 1.976914791 0.499717434 0.445948491 1.107753873

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    I. Quartiles:

    X2 X3 X4 X5 X6

    Q1 15.25 15.25 15.25 15.25 15.25

    Q3 45.75 45.75 45.75 45.75 45.75

    II. Coefficient of Skewness.

    SK=3(X-bar-Median)/s.d

    X2 X3 X4 X5 X6

    Sk 0.209 0.252 2.603 1.75038 1.083

    Q1=n+1(25/100)

    =60+1(25/100)

    =15.25Q3=n+1(75/100)

    =60+1(75/100)

    =45.75

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    Case study (B). Wildcat Plumbing Supply, Inc.: Do we HaveGender Differences?

    SolutionRequirements of the case:

    a) Cumulative Frequency Distributionb) Several measures of locationc) Draw Chart (Bar char, Histogram, Line Chart)d) Quartilee) Summarize the Situation

    a)Cumulative Frequency Distribution Table:

    YearlySalary

    Women(F)

    Men(F)

    MidPoint

    FM ofWomen

    FM ofMen

    C.F(women)

    C.F(Men)

    less than30

    2 0 25 50 25 2 0

    30-40 3 1 35 105 35 5 1

    40-50 17 4 45 765 180 22 5

    50-60 17 24 55 935 1320 39 2960-70 8 21 65 520 1365 47 50

    70-80 3 7 75 225 16875 50 57

    80 or more 0 3 85 0 0 50 60

    Total 50 60 2600 19800

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    b)Several measures of locationSeveral measures of location are mean & median

    Mean of Womens salary:Mean=FM/n

    = 2600/7

    Mean =371.43 Answer

    Median of womens salary:Median=Central value of Data

    So,

    Median=17 Answer

    Mean of Mens salary:Mean=FM/n=19800/7

    Mean=2828.57 Answer

    Median of Mens salary:Median= Central Value

    So,

    Median=24 Answer

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    C) Draw Chart (Bar char, Histogram, Line Chart)

    23

    17 17

    8

    3

    001

    4

    24

    21

    7

    3

    0

    5

    10

    15

    20

    25

    30

    less then

    30

    30-40 40-50 50-60 60-70 70-80 80 or

    more

    Frequency

    Yearly Salary

    Line Chart

    Women

    Men

    23

    17 17

    8

    3

    001

    4

    24

    21

    7

    3

    0

    5

    10

    15

    20

    25

    30

    less then

    30

    30-40 40-50 50-60 60-70 70-80 80 or

    more

    F

    requency

    Yearly Salary

    Bar Chart

    Women

    Men

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    Histogram of WOMEN SALRAY:

    Histogram of MEN SALARY:

    0 14

    2421

    730

    5

    10

    15

    20

    25

    30

    Less

    than 30

    30 up to

    40

    40 up to

    50

    50 up to

    60

    60 up to

    70

    70 up to

    80

    80 or

    more

    Frequency

    Yearly Salary

    Histogram

    Men

    2 3

    17 17

    8

    300

    5

    10

    15

    20

    Less

    than 30

    30 up

    to 40

    40 up

    to 50

    50 up

    to 60

    60 up

    to 70

    70 up

    to 80

    80 or

    more

    Frequency

    Yearly Salary

    Histogram

    Women

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    d)Quartiles:

    Q1=n+1(25/100)

    =7+1(25/100)

    Q1=2 Answer

    Q2=n+1(50/100)

    =7+1(50/100)

    Q2=4 Answer

    Q3=n+1(75/100)

    =7+1(75/100)

    Q3=6 Answer

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    Case (C). Kimble Products: Is there a difference in the

    commissions?

    Solution:

    Requirement of the case:

    1. Write a brief report?2. Central tendency and dispersion of the two groups

    Group #1: Commissions earned by sale representatives calling

    on Athletic Department.

    First arranged the data

    No. of Salesrepresentative

    XCommissions

    Earned

    (x-xbar)^2

    1 4 669573.98

    2 7 664673.33

    3 13 654926.03

    4 39 613519.73

    5 69 567423.23

    6 87 540629.33

    7 149 453299.23

    8 159 439933.73

    9 175 418964.93

    10 249 328644.23

    11 252 325213.58

    12 278 296235.2813 299 273816.73

    14 354 219281.48

    15 357 216480.83

    16 392 185136.58

    17 416 165059.38

    18 427 156242.33

    19 434 150757.48

    20 526 87778.876

    21 527 87187.326

    22 557 70370.826

    23 579 59182.726

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    24 615 42962.926

    25 635 35071.926

    26 680 20242.176

    27 883 3687.5256

    28 1105 79933.42629 1106 80499.876

    30 1168 119525.78

    31 1187 133024.33

    32 1602 607971.08

    33 1604 611093.98

    34 1676 728846.38

    35 1683 740847.53

    36 1738 838552.28

    37 2197 1889868.8

    38 2321 2246176.639 3140 5371849.2

    40 3202 5663091.1

    Total 32891 26857576

    Central Tendency:

    As we know that the measures of central tendency are mean , median and

    mode.

    So,

    Mean=x/n

    =32891/40

    Mean= 822.275

    And

    Median= central value

    =526+527/2Median=526.5

    And

    Mode= repeating value

    We have no repeating value in this group #1

    So,

    Mode=N/A

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    Measures of Dispersion of Group #1

    We know that the measures of dispersions are range, variance, quartile,

    deciles, and percentiles

    Range= largest value- smallest value

    =3202-4

    Range=3198

    Variance=(x-Xbar)2 /n+1

    =26857576/40-1

    Variance=688655.8

    Quartiles:

    Q1 =n+1(25/100

    =40+1(25/100)

    Q1=10.25

    Q2=n+1(50/100)

    =40+1(50/100)

    Q2=20.5

    Q3=n+1(75/100)

    =40+1(75/100)

    Q3=30.75

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    Percentile:

    L p=n+1(P/100)

    =40+1(40/100)

    L p=16.4

    Deciles:

    D1=n+1(10/100)

    =40+1(10/100)

    D1=4.1

    D2=n+1(30/100)

    =40+1(30/100)

    D2=12.3

    D3=n+1(90/100)

    =40+1(90/100)

    D3=36.9

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    Group#2: Commission earned by sale representatives calling on large

    retailers ($)

    No. of salerepresentative

    X (x-Xbar)^2

    1 12 1096627.84

    2 681 143035.24

    3 719 115736.04

    4 754 93147.04

    5 758 90721.44

    6 807 63604.84

    7 850 43764.64

    8 870 35796.649 886 29998.24

    10 886 29998.24

    11 899 25664.04

    12 918 19937.44

    13 934 15675.04

    14 944 13271.04

    15 1066 46.24

    16 1083 566.44

    17 1116 3226.24

    18 1206 21550.24

    19 1213 23654.44

    20 1244 34151.04

    21 1255 38337.64

    22 1262 41127.84

    23 1291 53731.24

    24 1294 55131.04

    25 1313 64414.44

    26 1315 65433.64

    27 1338 77729.4428 1448 151165.44

    29 1556 246810.24

    30 1858 638081.44

    Total 31776 3332134.8

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    Central Tendency:

    Mean=x/n

    =31776/30

    Mean=1059.2

    & Median= central value

    So,

    Median=1074.5

    And Mode=Repeating ValueSo,

    Mode=886

    Measures of Dispersion of Group #2

    Range= largest value- smallest value=1858-12

    Range=1846

    Variance=(x-Xbar)2 /n+1

    = 3332134.8/30-1

    variance=114901.2