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    Muestreo Número de Muestra Defectos Fracción Defectuosa P LCS LCI

    Uploaded by

    Julissa Santana
    The document contains a table with 40 samples of 50 items each that recorded the number of defects in each sample. It includes the fraction defective, average fraction defective (p), and upper and lower control limits. It aims to analyze the data using a control chart for the fraction defective (p chart) to determine if the process is in control.

    Copyright:

    © All Rights Reserved
    Download as XLSX, PDF, TXT or read online from Scribd

    Muestreo Número de Muestra Defectos Fracción Defectuosa P LCS LCI

    Uploaded by

    Julissa Santana
    13 views2 pages
    The document contains a table with 40 samples of 50 items each that recorded the number of defects in each sample. It includes the fraction defective, average fraction defective (p), and upper and lower control limits. It aims to analyze the data using a control chart for the fraction defective (p chart) to determine if the process is in control.

    Original Description:

    sf,sf,s

    Original Title

    Plantilla Grafica Control p

    Copyright

    © © All Rights Reserved

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    The document contains a table with 40 samples of 50 items each that recorded the number of defects in each sample. It includes the fraction defective, average fraction defective (p), and upper and lower control limits. It aims to analyze the data using a control chart for the fraction defective (p chart) to determine if the process is in control.

    Copyright:

    © All Rights Reserved
    Download as XLSX, PDF, TXT or read online from Scribd
    Download as xlsx, pdf, or txt
    13 views2 pages

    Muestreo Número de Muestra Defectos Fracción Defectuosa P LCS LCI

    Uploaded by

    Julissa Santana
    The document contains a table with 40 samples of 50 items each that recorded the number of defects in each sample. It includes the fraction defective, average fraction defective (p), and upper and lower control limits. It aims to analyze the data using a control chart for the fraction defective (p chart) to determine if the process is in control.

    Copyright:

    © All Rights Reserved
    Download as XLSX, PDF, TXT or read online from Scribd
    Download as xlsx, pdf, or txt
    of 2

    Muestreo Número de muestra Defectos Fracción defectuosa p LCS LCI

    1 50 1 0.020 0.098 0.224 0.000


    2 50 0 0.000 0.098 0.224 0.000
    3 50 9 0.180 0.098 0.224 0.000
    4 50 9 0.180 0.098 0.224 0.000
    5 50 4 0.080 0.098 0.224 0.000
    6 50 4 0.080 0.098 0.224 0.000
    7 50 5 0.100 0.098 0.224 0.000
    8 50 3 0.060 0.098 0.224 0.000
    9 50 9 0.180 0.098 0.224 0.000
    10 50 3 0.060 0.098 0.224 0.000
    11 50 10 0.200 0.098 0.224 0.000
    12 50 2 0.040 0.098 0.224 0.000
    13 50 2 0.040 0.098 0.224 0.000
    14 50 4 0.080 0.098 0.224 0.000
    15 50 9 0.180 0.098 0.224 0.000
    16 50 4 0.080 0.098 0.224 0.000
    17 50 6 0.120 0.098 0.224 0.000
    18 50 9 0.180 0.098 0.224 0.000
    19 50 2 0.040 0.098 0.224 0.000
    20 50 4 0.080 0.098 0.224 0.000
    21 50 7 0.140 0.098 0.224 0.000
    22 50 9 0.180 0.098 0.224 0.000
    23 50 0 0.000 0.098 0.224 0.000
    24 50 8 0.160 0.098 0.224 0.000
    25 50 6 0.120 0.098 0.224 0.000
    26 50 9 0.180 0.098 0.224 0.000
    27 50 6 0.120 0.098 0.224 0.000
    28 50 1 0.020 0.098 0.224 0.000
    29 50 4 0.080 0.098 0.224 0.000
    30 50 5 0.100 0.098 0.224 0.000
    31 50 2 0.040 0.098 0.224 0.000
    32 50 5 0.100 0.098 0.224 0.000
    33 50 0 0.000 0.098 0.224 0.000
    34 50 0 0.000 0.098 0.224 0.000
    35 50 4 0.080 0.098 0.224 0.000
    36 50 7 0.140 0.098 0.224 0.000
    37 50 5 0.100 0.098 0.224 0.000
    38 50 1 0.020 0.098 0.224 0.000
    39 50 9 0.180 0.098 0.224 0.000
    40 50 9 0.180 0.098 0.224 0.000
    Total 2000 196
    Grafica de Control p
    0.250

    0.200

    0.150

    0.100

    0.050

    0.000
    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40

    Francción defectuosa p LCS LCI

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