Then Click OK back to previous dialogue box. Then click Low/High button, the low and high values for each factor are shown in the pop-up window. In the pop-up dialogue box, select four input factors by double clicking all four factors for Factors as shown below. Click Stat DOE Factorial Define Custom Factorial Design. Input factors Response variable Step 2: Defining the Factorial Design. Then you will see the data of the experiment in the worksheet. You may see a popup window with message a copy of the content of this file will be added to the current project. Step 1: Inputting Data Open the Minitab worksheet file by clicking File Open Worksheet, select the file Example_5_Delta_Insertion_Loss.mtw in your stored directory. Find out the critical process variables that affect the delta insertion loss and setting levels to meet design objective of delta insertion loss less than 1 db. A small ( 24 Surface Plot of output power vs Laser placement, Laser facet power Hold Values Lens placement (mils 1.2 Fiber alignment (db) put power (mw) Laser facet power (mw) Laser placement (um) of 32Ģ4 Example 5: Factorial Design without Replication Example #5 is a unreplicated 2 4 factorial design. P-value P-value is a measure of how likely the sample results are, assuming the null hypothesis is true.
ANOVA Table ANOVA table is displayed in session window. The boxplot, normal plot of residuals, residuals versus fits, and residuals versus order graphs are popped-up. The One-way ANOVA table is displayed in the session window. Click OK again to generate the results of the One-way ANOVA. In the dialogue box, check Boxplots of data, Normal plot of residuals, Residuals versus fits and Residuals versus order. Then Click Graphs to select the output graphs of the analysis. of 32Ĥ In the dialogue box which appears, select C3 Etch Rate for Response and C2 Power Level for Factor by double clicking the columns on the left. To perform the One-way analysis of variance (ANOVA) for stacked data, click Stat ANOVA One Way. Step 2: Performing Data Analysis Example #1 is a one-factor factorial design. Ex: the data for Power Level 160 to 220 are stored in columns C6 through C9 respectively. In unstacked case, the response values of a given treatment are inputted in a separate column. It is a preferred way because it allows arranging data with the corresponding run order (in column C1) so that the independence assumption can be checked in ANOVA analysis. This type of data input is called the stacked case in Minitab. Levels of the treatment / input factor Corresponding values of the response variable We input the levels of the treatment in one column (C2) and the corresponding values of the response variable in another column (C3). You may see a pop-up window with message a copy of the content of this file will be added to the current project. Step 1: Inputting Data Open the Minitab worksheet file by clicking File Open Worksheet, select the file Example_1_Etching_Process.mtw in your stored directory.
He is interested in a particular gas (C 2 F 6 ) and gap (0.80 cm), and wants to test four levels of RF power: 160W, 180W, 200W, and 220W.
An engineer is interested in investigating the relationship between the RF power setting and the etch rate. of 32ģ Example 1 One-Way ANOVA In many IC manufacturing, a plasma etching process is widely used.
Minitab tutorials how to#
How to obtain data? - Manually enter data o Enter column heading above Row 1 o Enter data - Open an existing Minitab worksheet file (.mtw or.mpj) - Copy and paste from an Excel spreadsheet. The Worksheet is a spreadsheet interface to input, sort, and manipulate data. The Session window displays statistical results of your data analysis and the commands you invoke along with any statistical analyses you may perform.
Minitab tutorials trial#
A 30-day free trial version of Minitab 15 can be downloaded at When you launch Minitab, you will see a split screen with two windows: session and worksheet.
Minitab tutorials software#
1 Table of Contents Introduction to Minitab.2 Example 1 One-Way ANOVA.3 Determining Sample Size in One-way ANOVA.8 Example 2 Two-factor Factorial Design.9 Example 3: Randomized Complete Block Design.14 Example 4: Factorial design with Replications.17 Example 5: Factorial Design without Replication.24 Example 6A Fractional Factorial Design.29 Example 6B Fractional Factorial Design.31 of 32Ģ Introduction to Minitab Minitab is a statistical analysis software package.
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