minitab ppt.ppt

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    Introduction to MinitabPREPARED BY

    GOPAKUMAR M GNPI ENGINEER

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    Minitab MinitabTMis a very powerful, full feature, statistics package

    seamless with Excel, PowerPoint .

    The Software is used for Stastical &Graphical Analysis for

    Six SigmaProjects.

    Graphical Capabilities Stastical Capabilities Pareto Capability Analysis

    Histogram Hypothesis Test Box Plot Contingency Tables

    Scatter Plot Design of Experiments (DOE)

    2

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    Objectives

    3

    At the end of this this topic, Introduction to Minitab, youwill be able to:

    Describethe basics of Minitab.

    Derive statistical parameters for a given set of data using Minitab .

    Analyze the given data graphically and statistically using Minitab.

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    Outline Introduction to Minitab

    Minitab File Types Worksheet Format & Structure

    Supporting Data types

    Minitab Windows

    Example1: Basic Statistics

    Minitab for Graphical Analysis

    Pareto Analysis Example2: Pareto Analysis

    Example 3: Process Capability Index(Cpk)

    Conclusion4

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    Minitab Files Types

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    Worksheet contains the data only.

    Takes very little disk space. All of

    the Minitab files used training are

    worksheet files which use the suffix

    .MTW

    Project contains a complete

    record of actions taken (sessionwindow, history window, graphs

    and worksheet(s). Takes more

    disk space. Uses the file suffix

    .MPJ

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    WorkSheet Format & Structure

    6

    Session

    Window

    DataWindow

    Columns C1, C2, C3, . . .

    Cells

    Rows 1, 2, . . .

    Multiple worksheets may be open in different Data windows.

    However, only one is active at a time.

    Menu

    Tool Bar

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    Minitab Accepts Three Types of Data: Date/Time,

    Text & Numeric

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    D suffix

    indicates thecolumn

    contains

    date/time

    T suffix indicates

    the columncontains text

    No suffix

    indicates thecolumn contains

    numeric data

    Data types can not be mixed in a column. If the column contains one cell

    that has text in it, the entire column is considered to be text.

    /

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    Minitab Accepts Three Types of Data: Date/Time,

    Text & Numeric

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    Column Names

    (Type, Date, Count & Amount

    Entered Data for Data

    Rows 1 through 4

    Data Entry Arrow

    Data Rows

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    Minitab Windows

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    Menu BarSession Window:

    Analytical Output

    Data Window:

    A Worksheet different from a Spreadsheet

    Column names are above first row3 data types of Columns: Text/ Numeric/ Date

    Everything in a column is considered to be the same

    variableInfo Window:

    Synopsis of worksheet

    History Window:

    Stores Commands

    Tool Bar

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    Minitab Windows

    Data- just as the name implies

    Session- output of most tests and analysis

    Graphs- each graph is created in a new window.Graphs are linked to the data but updates only occur when the

    Window>Update Al l Graphs Nowcommand is performed orby right clicking on the graph and selecting Update Graph

    Automat ica l ly.

    Information- column by column summary information about thedata

    History- record of actions, useful for creating macros

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    Minitab Example 1

    Basic Statistics

    1) Find mean, median, mode, range, variance, Maximum ,Minimum and

    standard deviation(sigma) for the sample data given below:

    -3,-2,-1,1,2,3,4,5,6,7,8,9

    Open a new Worksheet (in the existing or a new Project)

    Type in the numbers vertically in a column

    Name the column as DATA

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    N

    xi

    mean ()

    N

    xi

    2

    2 )(

    variance (2)

    Std Deviation()

    )( 2

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    Solving Using Minitab

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    Graphical AnalysisWe have seen that Minitab can be used for statistical analysisof data. Now let us study how we can analyze data

    graphically using the tools listed below:

    Pareto Chart

    Histogram

    Dot Plot

    Box Plot

    Scatter Plot

    Matrix Plot

    Marginal Plot

    Time Series Plot

    Run Chart

    Minitab for Graphical Analysis

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    Pareto Analysis

    Pareto chart is named after an Italian economist

    Vilfredo Pareto whose theory states that 80% ofwealth is owned by 20% of the population. Based on

    this theory, the chart is used to visually depict the

    significance level of categories plotted.

    The theory that 80% of the problems come from20% of the causes is called Paretosprinciple.

    The purpose of the Pareto chart is to highlight the

    most important among a (typically large) set of

    factors. In quality control, it often represents the most

    common sources of defects, the highest occurring

    type of defect, or the most frequent reasons for

    customer complaints, and so on.

    16

    Vilfredo Pareto1848 - 1923

    http://en.wikipedia.org/wiki/Quality_controlhttp://en.wikipedia.org/wiki/Quality_controlhttp://en.wikipedia.org/wiki/Quality_controlhttp://en.wikipedia.org/wiki/Quality_control
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    To draw a Pareto chart, follow the path

    Minitab> Stats > Quality Tools > Pareto Chart

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    Pareto Analysis

    Count

    Percent

    ZoneCount

    Percent 32.4 25.0 12.7 10.0 7.8 6.1 2.9 2.9

    Cum %

    132

    32.4 57.4 70.1 80.1 88.0 94.1 97.1 100.0

    102 52 41 32 25 12 12OtherFourTwoSixEightFiveThreeOne

    400

    300

    200

    100

    0

    100

    80

    60

    40

    20

    0

    Pareto Chart of Zone

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    Minitab Example 2

    In Example 2 , we are going to draw a pareto chart for

    the Main failures occurred in Midline for PINOT LP3

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    Pareto Chart Analysis

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    Pareto Chart Analysis

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    What is Cpk? It is a measure of how well

    a process is within a specification.

    Cpk = A divided by BA = Distance from process mean to closest spec limit

    B = 3 Standard Deviations (also called 3 Sigma)

    A bigger Cpk is better because fewer units will be beyond spec.

    (A bigger A and a smaller B are better.)

    A

    B

    Specification

    Limit

    Specification

    Limit

    Cpk =

    A divided by

    B

    Process Capability Index (Cpk)

    We desire a

    minimum of 1.33

    and ultimately we

    want 2 or more.

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    Process Capability Index (Cpk)

    Process capability is also the ability of the combination ofMan, machine, methods, material, and measurements to produce a product that

    will consistently meet the design requirements or customer expectation.

    A minimum of three possible outcomes can arise when the natural process variability

    is compared with the design specifications or customer expectations:

    Case 1: Cpk > 1.33 (A Highly Capable Process)

    Case 2: Cpk = 1 to 1.33 (A Barely Capable Process)

    Case 3: Cpk < 1 (The Process is not Capable)

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    Measuring Cpk Using Minitab

    Example 3

    Measure the Cpk Of the Carriage Belt Tension of 32 units

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    Measuring Cpk Using Minitab

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    Conclusion

    Minitab is one of the powerful tool used in Quality

    Analysis.

    Using Minitab we can easily conduct the Statistical and

    Graphical analysis of data.

    Minitab is mainly used for the implementation of Six

    Sigma Projects.

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    Minitab Training

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