Thank you for sharing this explanation! I also deeply appreciate the captions to help us understand what is being said. I’m in a MBA program and stats aren’t my strongest skill so thanks again.

@instituteofqualityandrelia7902

3 жыл бұрын

Welcome! I am glad to know!

Thank you for your tutorial! I watch the whole series from the very first one and I understand DoE a lot better!

@instituteofqualityandrelia7902

2 жыл бұрын

Happy to hear that!

Just watched the whole DOE series. One of the few videos that actually looks under the hood of what minitab offers. great job

@instituteofqualityandrelia7902

3 жыл бұрын

Thank you! Glad to know you watched the full DOE series! Do you work for Minitab? Regards..Hemant

@jcournoyer2

3 жыл бұрын

@@instituteofqualityandrelia7902 No, I am a Mech. Engineer that needed a refresher.

Great explanation; the best i have seen in the web. Thank you Sir!!

@instituteofqualityandrelia7902

3 жыл бұрын

Wow, thanks a lot for your feedback and appreciation! I get motivated to do more with such feedback!

Thank You for sharing. These are very simple videos and good explanations to understand.

@instituteofqualityandrelia7902

2 жыл бұрын

Thank you Pravin!

Thank you so much, Sir. Really helpful, congratulations!

@instituteofqualityandrelia7902

3 жыл бұрын

Glad it was helpful!

I passed my course thanks to you. Thank you very much!

@instituteofqualityandrelia7902

2 жыл бұрын

I am glad it helped! Congratulations!

Thank you so much for your very clear explanation.

@instituteofqualityandrelia7902

11 ай бұрын

Welcome! I am glad you liked it!

Excellent tutorial Sir, Tank you!

@instituteofqualityandrelia7902

2 жыл бұрын

Thanks. Appreciate your feedback.

Thank you. it was very clear

@instituteofqualityandrelia7902

4 ай бұрын

Good to know!

Thank you so much

@instituteofqualityandrelia7902

Жыл бұрын

Welcome! Appreciate your feedback!

This helped me pass my course. Many thanks sir!

@instituteofqualityandrelia7902

2 жыл бұрын

I am glad it helped! Congratulations!

Thank you sir, the explanation is easy and understandable

@instituteofqualityandrelia7902

2 жыл бұрын

Appreciate your feedback! Thank you.

Very well explained sir. Great job....

@instituteofqualityandrelia7902

3 жыл бұрын

Thank you!😊

Thank you for your video. However, there is a statement you made which mentioned the highest average response is 8.3 but I saw in one corner there is also a value of 9.1. Why is that?

@instituteofqualityandrelia7902

4 ай бұрын

Thank you for your comment. You are correct. It should be 9.1 instead. Apologise for my oversight!

It's worth watching sir

@instituteofqualityandrelia7902

3 жыл бұрын

Thank you!

hello, thanks for the explanation, but in my factorial design i don't have to option to do contour or surface plots, can i use graph option instead?

@instituteofqualityandrelia7902

Жыл бұрын

Hello friend, you may have defined the factors as text. In case these are numerical, you can create the design with numerical factors and analyse. If your factors are discrete, then contour surface plots are not possible.

Dear sir, What is the red reference line in pareto effect diagram? How its calculated by minitab? Also, is it possible to optimize design by using the results of finite element analysis to minimise the stress or displacement in the structure we analysed?

@instituteofqualityandrelia7902

3 жыл бұрын

The red line represents limit of randomness at the specified confidence level. It is calculated using t-distribution and error degrees of freedom. For example, at 8:43, the value above the line is shown as 2.14. The error degrees of freedom are 14. So this 2.14 is critical value of two-tailed t-distribution with 0.05 alpha risk and 14 degrees of freedom. Use function =T.INV.2T(0.05,14) to get this value on XL. Try in some other cases. Watch our video on t-test. Link to this video: kzread.info/dash/bejne/l6mu3LOOY9GWhbg.html.

this is so good thanks for it. but i dont understant block? what is it? is it same value with our factor?

@uhemant1

4 жыл бұрын

A block is a discrete factor that is not under control of the experimenter. Examples are different batches, diffferent machines. It is not of primary interest to the experimenter but can result in additional variation. Please see our previous videos on DOE to understand the videos better. This is the seventh video on DOE.

hello sir ! Hemant sir as great as always :)

@instituteofqualityandrelia7902

4 жыл бұрын

So nice of you

@instituteofqualityandrelia7902

4 жыл бұрын

Thanks Ankit!

SIr, when we need to use factorial design and RSM response surface mode design in minitab , both methods are answering for data with results.

@instituteofqualityandrelia7902

3 жыл бұрын

I have not understood your comment. Kindly clarify.

Hello, is it possible to use response optimizer without considering any interaction effects? I ask you this since when I studied response surface, the only way to optimize was considering curvature (interactions, quadratic effects). I was wondering if even in the factorial response optimizer, interactions are mandatory for optimization.

@instituteofqualityandrelia7902

Жыл бұрын

I would say consider interactions if these are statistically significant. Else, you can omit it from the model.

@luigi88953

Жыл бұрын

@@instituteofqualityandrelia7902 thank you. Actually my question was about optimization. Can I still optimize without considering interactions (if they are not significant)? I ask you this because in response surface the prerogative for optimization was to have interaction and/or quadratic effects. I wonder why this would be different in pure factorial doe.

@instituteofqualityandrelia7902

Жыл бұрын

@@luigi88953 yes. If you omit from the model, these will not be used for optimization.

@luigi88953

Жыл бұрын

@@instituteofqualityandrelia7902 thank you!

At 1:29 the highest average is 9.13 is in the corner with high case depth and radius and low roughness

@instituteofqualityandrelia7902

3 жыл бұрын

Yes. True. But with the regression equation that includes interaction, you may find the optimum settings somewhere else. This in only illustration, and what you say may not be true in other cases. Thanks for your keen interest.

if p-value of block is significant, does that mean there is unacceptable lot to lot variation? if yes, what action can be usually taken to resolve the issue?

@instituteofqualityandrelia7902

3 ай бұрын

It depends on what the blocking factor is. If p-value shows that it is significant, then we need to consider the block in the model and prediction. There is no question of accepting or not accepting!

Hi.. Could you please help me? The contour plot option is unactive and I can't plot it

@instituteofqualityandrelia7902

3 жыл бұрын

Hi Natalia! It is possible that you defined the factors as text. Please check. You must define the factors as numeric to get contour plots.

sir what is the difference between full factorial design, half factorial design and Response surface methodology

@instituteofqualityandrelia7902

3 жыл бұрын

Thanks for your ineterst! Please watch our video on Fractional Factorial Designs. Here is the link: kzread.info/dash/bejne/f4WcyJOEdsu_c9o.html. The Resposne Surface Designs are used when response is nonlinear and requires second or higher order models.

Why is the threshold p value for significant factor is p

@instituteofqualityandrelia7902

Жыл бұрын

Hello Eric, The threshold p-value is decided by the confidence level as you have mentioned. You can change confidence level in Minitab in Stat>DOE>Analyse Factorial Design and Options (Ref Minitab 17 version). It may vary for other versions. And yes, the R-sq (Adj) 86% is an error. Apologise for that. Will trty to correct it if possible in the video. I have added the correction in the description. KZread does not allow editing the video. Thanks for your keen interest.

Why three blocks are chosen? What effect will we observe if we choose only one block?

@instituteofqualityandrelia7902

Ай бұрын

Hello! Thank you for your question. I should have explained that in the first part of the video. The three blocks are for the three batches of material. Apologise for delay in my respones. Link to part 1 of the video: kzread.info/dash/bejne/lmWgt7Crf67JYso.htmlsi=k67m9ztysCFZkCUe

Can anyone help?.in analysing factorial design my residuals are always coming 0 and the normality plot have all points at 0.please tell the mistake i made

@instituteofqualityandrelia7902

3 жыл бұрын

Hi Alka! This happens in saturated designs. Ths measn that the number of treatments in the experiment equals number of effects that you are analysing, and there is no degree of freedom left for Mean-square error in ANOVA and thus F-ratio cannot be calculated. You can see my other videos on Degrees of freedom, fractional factoril design and other videos on DOE. Good luck!

Hello sir , I follow your video for the analysis of DOE on minitab 18 and it doesn't give p-values and t-values. What can be the possible reason?

@instituteofqualityandrelia7902

3 жыл бұрын

Hello Shehzadkhan, Thanks for your question! This is most likely because of insufficient degrees of freedom (DF) for the error term. Calculation of p-values in ANOVA requires at least one DF for error. You will be seeing * instead of p-values. Am I correct?

@shehzadkhanlucky7477

3 жыл бұрын

@@instituteofqualityandrelia7902 Absolutely right sir * sign appears

@shehzadkhanlucky7477

3 жыл бұрын

@@instituteofqualityandrelia7902 Sir what am i supposed to do now?

@instituteofqualityandrelia7902

3 жыл бұрын

@@shehzadkhanlucky7477 You can either omit terms that have very little contribution. You can identify these by looking at Sum of Squares (SeqSS) values. If this is not possible, then you can replicate experiment but this is additional time and budget.

@shehzadkhanlucky7477

3 жыл бұрын

@@instituteofqualityandrelia7902 Ok, thank you sir.

Please explain block and replicate in detail sir...why no. of run increased from 8 to 24 after adding 3 block and 3 replicate

@instituteofqualityandrelia7902

3 жыл бұрын

Thanks Ravish. For blocking please watch our other videos. On this case, three blocks are for three batches. Three replicates also provide better power and lower beta risk.

Please Sir. Please...I'm in dire need of assistance. I have data that needs to be analysed using full factorial method but I don't know how to go about it. Please can you help me? I'm frustrated Please

@instituteofqualityandrelia7902

2 жыл бұрын

Hello Ayanam! Watch my foundation videos on the subject of DOE. Here are links! 1.kzread.info/dash/bejne/ooh1t8Nvobu8Zqg.html 2. kzread.info/dash/bejne/lX2Mu62yntSXXdI.html 3.kzread.info/dash/bejne/mmp5w7Jsn5eTo7g.html