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Chapter 2 Minitab for Data Analysis KANCHALA SUDTACHAT

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Basic Command Example 2-1: tensile 7226, 7301, 7219, 7350, 7170, 7377, 7150, 7398 Basic command 1.Open the worksheet sample.MTW 2.Sort the data 1.Data-> Sort 2.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 Command Basic command 3.Random data 1.Calc-> Random data->Normal 2.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 plot 1.Open worksheet Newcomb.MTJ 2.Graph -> Dotplot -> Simple -> OK 3.Double click C1 Newcomb

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Stem-And-Leaf 1.Open worksheet Table2-2.MTJ 2.Graph -> Stem-and-Leaf 3.Double click C1 Strength

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Histogram 1.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 Plot Single variables 1.Graph -> Boxplots- > Simple 2.Dialog box: Boxplot – One Y, Simple 1.Double click C1 Strength to Box: Graph variables 2.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 Groups 1.Double click C1 Strength to Box: Graph variables 2.Double click C2 Status to Box: Categorical variables for grouping 3.Click: Data View command -> Check: Inter quartile range box, Outlier symbols -> OK -> OK

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Time Series Plots 1.Graph -> Time Series Plot -> Simple 2.Double click C1 Strength to Box: Series: -> OK

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Individual Value Plot 1.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 Plot 1.Graph -> Interval Plot 2.Multiple Y’s -> Simple

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Interval Plot 1.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 Plot 1.Graph -> Scatterplot… -> with Simple 2.Dialog box: Scatterplot - Simple 1.Double click C2 Pull Strength to Y variable 2.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 Plots with Dot Plot 1.Graph -> Marginal Plots -> with Dotplots 2.Dialog box: Marginal Plot with Dotplots 1.Double click C1 Strength to Y variable 2.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 Plots 2.Dialog box: Matrix Plot – Matrix of Plots, Simple Start with control variables 1.Double click C3 Wire Length -> Graph variables 2.Double click C4 Die Height -> Graph variables End with response variable 1.Double click C2 Pull Strength -> Graph variables 3.OK -> OK

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Matrix Plots

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Questions?

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In this chapter, we will look at some charts and graphs used to summarize quantitative data. We will also look at numerical analysis of such data.

In this chapter, we will look at some charts and graphs used to summarize quantitative data. We will also look at numerical analysis of such data.

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