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3. Click Analysis menu and select Standard Analysis (either average or stand. deviation). Since PISTON has three samples/results per trial, QT4 will always remind you to perform S/N. Ignore this notice and click OK to proceed. In the next screen check Bigger is Better Quality Characteristic and click OK.	2. Proceed to Review and Analyze Results of PISTON and other example experiments. Note that there are over 50 example experiments of all sizes included with the program.
4. Review results and click on Graph if you wish to view it. Click OK when done.
5. While in the Main Effect screen, click Plot to view plots of Main Effect. Once you are in the graphics screen, click the "<<" or ">>" button at the bottom of the graph to display other factor plots. Click OK to return to Main Effect screen.
	6. Click on Interaction button, to display interaction plots between any two factors. Select the Automatic option if you want QT4 to calculate interaction between all possible factors, even though you may not have thought about all the interactions or included them in your study. QT4 calculates N (N-1)/2 possible pairs of interactions for N factors and ranks them by Severity of their presence (Severity Index, 0 - 100%). Review the list and note the important pairs of interaction for future reference. Click OK or Cancel to return to Main Effect screen and click OK to proceed to ANOVA screen.
(Interaction Plot)
7. In ANOVA screen, try POOLING the factor with least amount of influence (last column). To POOL factors, double click on the factor description. At prompt, review % Confidence Level and click OK. Notice how the ANOVA table gets updated. You can also try one or more of the following tasks.	Pool another factor with the least influence Reset ANOVA Pool all factors with less than 98.6% confidence level. Plot bar graph , pie chart, and Re-start ANOVA Review Pie diagram
	8. Click OK to move to the OPTIMUM screen. At the Optimum screen: Read expected response. Convert this result to a real number when S/N analysis is used. Plot graph of factor contribution. Find response for all factors at level 2 (Click on the Estimate button.) Go back to ANOVA and pool all factors below 10% influence. Determine 90% confidence interval of the optimum response. Return to optimum screen.
9. Click OK to return to the Experiment Configuration (main) screen. From the file menu, click on Open and select any other experiment file from the list of over 50 files (Open POUND.Q4W if you are interested in reviewing OEC). To review how the three separate objectives in evaluating the cake is combined into one single index (OEC), select OEC from the Edit menu item. Analyze results by following steps 3 -8.	Review OEC Formulation
	Designing your Own Experiment 10. Prepare a list of factors and levels for a practice experiment (say 5 factors at 2-level each). Click on the DESIGN menu and select Manual Design. Check L-8 for your design. When in design screen, describe factors and their levels by assigning to any rows (which are columns of the array). Since you will be using five of the seven available columns, put your cursor on the unused column and click on the UNUSED button to designate the two columns as unused. Click OK to move to the Orthogonal Array screen. Click OK to experiment file screen. Supply only the first eight characters of your file . You need not enter the file extension, .Q4W, as it is automatically added.
	11. Automatic Experiment Design - If you want Qualitek-4 to select the appropriate orthogonal arrays and design the experiment, select the Automatic Design option in the DESIGN menu in the main screen. Qualitek-4 can design experiments for most common situations. Give this a try. Be sure to check the bottom option if all your factors are a two levels.
12. After your design is completed, you may review the trial condition by clicking on REVIEW menu and by selecting Trial Condition. Should you want to carry out these experiments, you may print some or all the trial conditions. You may also save the trial conditions in a file to email/export electronically to remote locations.
	Experimental Results Entry 13. Once the experiments are carried out, you will need to enter the results by clicking on RESULT menu and then, selecting Enter Result option. If your result includes multiple evaluation criteria, you will select Multiple Criteria (OEC) option. Enter results/evaluation criteria as applicable. When done entering results, perform analysis following steps 3 - 8 as described above.
Use COPY and PASTE option to transfer results from other database programs.
For additional help with exploring program capabilities, review (included with the download compressed file) Getting Started with Qualitek-4 PowerPoint presentation file. This presentation shows you how to use Qualitek-4 for ANALYSIS and DESIGN tasks.	DEMO Capabilities Special Note to instructors Do you realize that you can design over 15 different types of experiments using the L-8 array (in demo version)? Here are the type of experiments: (1) Four 2-Level factors, (2) Five 2-Level factors, (3) Six 2-Level factors, (4) Seven 2-Level factors, (5) Four 2-Level factors + Three interactions, (6) Five 2-Level factors + Two interactions (7) Six 2-Level factors + One interaction, (8) Four 2-Level factors + One 4-Level factor (9) Three 2-Level factors + One 4-Level factor, (10) Two 2-Level factors + One 4-Level factor (11) One 2-Level factors + One 4-Level factor, (12) Four 2-Level factors + One 3-Level factor (13) Three 2-Level factors + One 3-Level factor, (14) Two 2-Level factors + One 3-Level factor (15) One 2-Level factors + One 3-Level factor. The textbooks (www.rkroy.com/wp-txt.html ) by R. Roy corresponds 100% with the software. If you are an instructor, you may consider using one or both books when you plan to use the software for the class (visit www.rkroy.com/wp-q4w.html for free license).

	Design of Experiments Using the Taguchi Approach : 16 Steps to Product and Process Improvement by Ranjit K. Roy Click here to visit our reference book site and find out how to purchase it at a discount Review Additional Qualitek-4 Screens