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    Rank Signed Ranks Negative Positive Number of Days Differenc e Absolute Differenc e

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    15vinay
    The document contains technology usage data for 3 technologies - Block Chain, NFC, and RFID - across 29 trials for 3 different technology companies. It shows the counts for each technology for each trial and company. It also

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    Rank Signed Ranks Negative Positive Number of Days Differenc e Absolute Differenc e

    Uploaded by

    15vinay
    24 views12 pages
    The document contains technology usage data for 3 technologies - Block Chain, NFC, and RFID - across 29 trials for 3 different technology companies. It shows the counts for each technology for each trial and company. It also

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    Excel

    Original Title

    fsk03

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    © © All Rights Reserved

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    The document contains technology usage data for 3 technologies - Block Chain, NFC, and RFID - across 29 trials for 3 different technology companies. It shows the counts for each technology for each trial and company. It also

    Copyright:

    © All Rights Reserved
    Download as XLSX, PDF, TXT or read online from Scribd
    Download as xlsx, pdf, or txt
    24 views12 pages

    Rank Signed Ranks Negative Positive Number of Days Differenc e Absolute Differenc e

    Uploaded by

    15vinay
    The document contains technology usage data for 3 technologies - Block Chain, NFC, and RFID - across 29 trials for 3 different technology companies. It shows the counts for each technology for each trial and company. It also

    Copyright:

    © All Rights Reserved
    Download as XLSX, PDF, TXT or read online from Scribd
    Download as xlsx, pdf, or txt
    of 12

    Time

    Time taken by
    Number taken by Palekopt Differenc
    Mitza er
    of Days Ltd(in Designs(i e
    minutes) n
    minutes)

    Day 1 16 14 2
    Day 2 25 26 -1
    Day 3 17 20 -3
    Day 4 18 15 3
    Day 5 19 21 -2
    Day 6 20 18 2
    Day 7 22 19 3
    Day 8 21 20 1
    Day 9 20 23 -3
    Day 10 18 22 -4
    Day 11 21 19 2

    Number Differenc Absolute Rank Signed Ranks


    of Days e Differenc
    e Negative Positive
    Day 1 2 2 4.5 4.5
    Day 2 -1 1 1.5 -1.5
    Day 3 -3 3 8.5 -8.5
    Day 4 3 3 8.5 8.5
    Day 5 -2 2 4.5 -4.5
    Day 6 2 2 4.5 4.5
    Day 7 3 3 8.5 8.5
    Day 8 1 1 1.5 1.5
    Day 9 -3 3 8.5 -8.5
    Day 10 -4 4 11 -11
    Day 11 2 2 4.5 4.5
    T-=34 T+=32
    S.No Spending before Loyalty Program Spending after Loyalty Program
    1 850 900
    2 1340 1500
    3 1230 1300
    4 1490 1000
    5 1800 1700
    6 2370 2400
    7 2270 2500
    8 2490 3000
    9 3160 3000
    10 2580 2500
    11 3300 1500
    12 1720 0
    13 3200 2000
    14 3080 5000
    15 2940 3400
    16 2350 2500
    17 3140 3000
    18 1270 1500
    19 3500 4000
    20 1410 0
    21 3080 4000
    22 1050 1500
    23 1760 1800
    24 1090 1000
    25 1390 1500
    26 1500 1500
    27 2320 2300
    28 1600 1600
    29 2800 2900
    30 2670 2600
    31 2360 2300
    32 3230 3200
    33 1530 850
    34 2710 2500
    35 2720 2800
    36 2700 2700
    37 1780 1800
    38 2190 2500
    39 2000 2000
    40 3000 3000
    41 1990 2500
    42 2060 2600
    43 880 1200
    44 3470 3500
    45 1430 1500
    46 1070 1100
    47 2610 2700
    48 1220 1200
    49 2760 2000
    50 2560 850
    51 1740 1500
    52 2960 2500
    53 1750 1400
    54 2000 2000
    55 3000 3000
    56 2850 3000
    57 1740 2400
    58 3130 3400
    59 1480 0
    60 3060 2500
    61 2020 4000
    62 950 1240
    63 2470 2500
    64 1070 1200
    65 1750 1800
    66 3040 3000
    67 3460 3500
    68 1750 2250
    69 2520 2500
    70 1480 1000
    71 1420 0
    72 3090 2500
    73 1070 850
    74 1720 1500
    75 2110 3000
    76 3360 4550
    77 2010 2500
    78 820 0
    79 2850 3440
    80 3000 3580
    81 3230 2860
    82 1440 2100
    83 2760 2500
    84 2520 2520
    85 3230 3540
    86 800 0
    87 990 1400
    88 990 1320
    89 1040 1800
    90 2130 2000
    91 3250 3400
    92 2810 2900
    93 1700 1850
    94 1160 1300
    95 1670 2450
    96 3110 3450
    97 940 1250
    98 1430 1850
    99 3220 4120
    100 1840 1900
    RFID NFC BLOCK CHAIN
    1 21 32 38
    2 32 12 25
    3 43 45 29
    4 36 13 25
    5 35 45 15
    6 32 38 22
    7 15 13 22
    8 22 32 53
    9 29 42 23
    10 26 42 16
    11 31 45 37
    12 38 39 25
    13 53 22 33
    14 32 35 24
    15 46 14 16
    16 27 40 10
    17 20 29 39
    18 10 23 47
    19 13 41 17
    20 44 27 16
    21 14 39 37
    22 24 35 11
    23 17 41 34
    24 28 50 24
    25 49 52 10
    26 44 19 47
    27 53 14 41
    28 15 42 34
    29 34 20 10
    Anova: Single Factor

    SUMMARY
    Groups Count Sum Average Variance
    Column 1 29 987 34.034483 210.8202
    Column 2 29 941 32.448276 168.75616
    Column 3 29 1010 34.827586 143.14778
    technology Block Chai NFC RFID
    company IBM 10 8 0
    8 9 4
    4 8 10
    10 9 1
    9 4 4
    8 7 8
    3 7 2
    6 9 3
    9 8 0
    8 6 9
    7 9 9
    9 9 6
    3 8 5
    9 5 7
    8 7 9
    Infosys 2 0 7
    8 7 4
    8 10 9
    8 8 7
    1 1 10
    5 6 10
    4 1 7
    10 1 6
    3 9 2
    4 10 4
    7 10 2
    2 5 6
    8 3 9
    6 4 7
    0 3 0 Average
    GyanTech 0 8 9 Variance
    10 0 2
    9 4 0 Total
    4 3 3 Count
    4 0 6 Sum
    2 6 4 Average
    6 8 5 Variance
    6 8 0
    10 7 4
    3 6 4 ANOVA
    9 10 5 Source of Variation
    2 9 10 Sample
    3 4 1 Columns
    6 8 5 Interaction
    4 9 3 Within

    Total
    5.200 6.000 4.067 5.089
    9.886 10.000 8.210 9.583

    45 45 45
    265 281 228
    5.889 6.244 5.067
    9.056 9.143 10.018

    SS df MS F P-value F crit
    64.133 2.000 32.067 3.608 0.030 3.068
    32.844 2.000 16.422 1.848 0.162 3.068
    57.689 4.000 14.422 1.623 0.173 2.444
    1119.733 126.000 8.887

    1274.4 134
    No. of Automation tools No. of workers
    12 852
    24 799
    36 727
    48 701
    60 670
    72 650
    84 636
    96 623
    108 594
    120 525
    132 455
    144 383
    SUMMARY OUTPUT

    Regression Statistics
    Multiple R 0.973187
    R Square 0.947093
    Adjusted R 0.941802
    Standard E 32.37279
    Observatio 12

    ANOVA
    df SS MS F Significance F
    Regression 1 187602.9 187602.9 179.0108 1.04E-07
    Residual 10 10479.98 1047.998
    Total 11 198082.9

    Coefficients
    Standard Error t Stat P-value Lower 95%Upper 95%
    Lower 95.0%
    Upper 95.0%
    Intercept 870.0152 19.92408 43.66652 9.53E-13 825.6215 914.4088 825.6215 914.4088
    No. of Rob -3.01836 0.225596 -13.3795 1.04E-07 -3.52102 -2.5157 -3.52102 -2.5157

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