Chapter 2 Minitab for Data Analysis

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Chapter 2 Minitab for Data Analysis KANCHALA SUDTACHAT

description

Chapter 2 Minitab for Data Analysis. Kanchala sudtachat. Basic Command. Example 2-1: tensile 7226, 7301, 7219, 7350, 7170, 7377, 7150, 7398 Basic command Open the worksheet sample.MTW Sort the data Data-> Sort Double click on C1 tensile on the left side. - PowerPoint PPT Presentation

Transcript of Chapter 2 Minitab for Data Analysis

Page 1: Chapter 2 Minitab for Data Analysis

Chapter 2Minitab for Data AnalysisKANCHALA SUDTACHAT

Page 2: Chapter 2 Minitab for Data Analysis

Basic CommandExample 2-1: tensile

7226, 7301, 7219, 7350, 7170, 7377, 7150, 7398

Basic command

1. Open the worksheet sample.MTW

2. Sort the data1. Data-> Sort2. Double click on C1 tensile on the left

side.3. Click in the By Column box, then

double click again on C1 tensile on the left pane. Don’t check Descending, if you want increasing.

4. Click on the circle Column(s) of current worksheet, fill in C2

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Basic CommandBasic command

3. Random data1. Calc-> Random data->Normal2. Number of rows of data to

generate 100. Store in column(s): C3

3. Mean: 7274, Standard deviation: 95.6

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Simple Analysis Sample mean and sample variance

1. Stat -> Basic Statistics -> Display Descriptive Statistics

In the Display Descriptive Statistics dialog box◦ Double click C3 S tensile to

Variables◦ Click Statistics dialog box

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Simple Analysis Graphs-> Check Individual value plot

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Display

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Using Help

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Dot plot1. Open worksheet Newcomb.MTJ

2. Graph -> Dotplot -> Simple -> OK

3. Double click C1 Newcomb

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Stem-And-Leaf1. Open worksheet Table2-2.MTJ

2. Graph -> Stem-and-Leaf

3. Double click C1 Strength

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Histogram1. Open worksheet Table2-4.MPJ

2. Graph -> Histogram -> Simple

3. In Graph variables,

Double click C1 Distance

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Histogram Graph -> Histogram

-> With fit

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Histogram Fix number of intervals

After obtained result of histogram

1. Double click X Scale ->

Display Edit Scale

2. Choose Binning

-> Number of intervals -> 10

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Pareto

1. Stat -> Quality Tools -> Pareto Chart

2. Double click C1 Type -> Defects or attribute data in:

3. Double click C2 HullLosses -> Frequencies in:

4. Check: Do not combine

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Pareto

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Box PlotSingle variables

1. Graph -> Boxplots- > Simple

2. Dialog box: Boxplot – One Y, Simple1. Double click C1 Strength to Box: Graph

variables2. Click: Data View command

-> Check: Inter quartile range box, Outlier symbols -> OK -> OK

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Box Plot

Comparison

1. Graph -> Boxplots- > With Groups

2. Dialog box: Boxplot – One Y, With Groups1. Double click C1 Strength to Box: Graph variables2. Double click C2 Status to Box: Categorical

variables for grouping3. Click: Data View command

-> Check: Inter quartile range box, Outlier symbols -> OK -> OK

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Time Series Plots1. Graph -> Time Series Plot

-> Simple

2. Double click C1 Strength

to Box: Series: -> OK

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Individual Value Plot1. Graph -> Individual Value Plot

2. Multiple Y’s -> Simple

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Individual Value Plot 1. Select -> Graph variables

C1 Day1

C2 Day2

.

.

C8 Day8

2. Click -> Data View…

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Individual Value Plot 1. Individual Value Plot-Data View

Check:

- Individual symbols

- Mean symbol

- Mean connect line

2. Click -> OK -> OK

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Individual Value Plot

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Interval Plot1. Graph -> Interval Plot

2. Multiple Y’s -> Simple

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Interval Plot1. Select Day1 – Day 8

-> Graph variables:

2. Click: Data View

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Interval Plot Check box

- Interval bar

- Mean symbol

- Mean connect line

Click OK -> OK

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Interval Plot

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Scatter Plot1. Graph -> Scatterplot…

-> with Simple

2. Dialog box: Scatterplot - Simple1. Double click C2 Pull Strength to

Y variable2. Double click C3 Wire Length to

X variable

3. Click: OK

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Scatter Plot

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Scatter Plot: Correlation & P- Value

1. Stat -> Basic Statistics -> Correlation…

2. Double Click: C2 Pull Strength (Response)

3. Double Click: C3 Wire Length (Control)

4. Check: Display p-values

5. Click OK

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Scatter Plot: Correlation & P-Value

Correlations: Pull Strength, Wire Length

Pearson correlation of Pull Strength and Wire Length = 0.982

P-Value = 0.000

Correlations: Pull Strength, Die Height

Pearson correlation of Pull Strength and Die Height = 0.493

P-Value = 0.012

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Marginal Plotswith Dot Plot

1. Graph -> Marginal Plots

-> with Dotplots

2. Dialog box: Marginal Plot with Dotplots1. Double click C1 Strength to Y variable2. Double click C3 time to X variable

3. Click: Marginal Options

4. Check: Dotplot and Y only

5. OK -> OK

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Marginal Plots with Dot Plot

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Matrix Plot

1. Graph -> Matrix Plots

-> Matrix of plots: Simple

OK -> OK

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Matrix Plots2. Dialog box: Matrix Plot –

Matrix of Plots, Simple

Start with control variables1. Double click C3 Wire Length

-> Graph variables2. Double click C4 Die Height

-> Graph variables End with response variable3. Double click C2 Pull Strength

-> Graph variables

3. OK -> OK

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Matrix Plots

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Questions?