Great, thanks. You can also use a neat AVERAGEIFS function in your mini matrix at 17:20
@ferencfeher2647 Жыл бұрын
I appreciate your honest about not being able to spell. Marines are largely in the same boat.
@Monkeysal072 жыл бұрын
why are the beta coefficients divided by 2 ?
@jessetello7620Ай бұрын
im in her class. she never explained it.
@lizzyzr73313 жыл бұрын
Excellent presentation Thank you
@jexxy18063 жыл бұрын
Can you fix the background static? kind of unprofessional to be paying so much money for these classes and to have these lectures presented to us with Audio that makes my ears bleed.
@davidgulik555610 ай бұрын
You must be a drama student!
@gonzaloallendes10783 ай бұрын
@@AlbertZiegler069 I agree with Albert, the teacher should give the minimum amount of importance to video quality. If that means acquiring new video recording skills, then it is her responsibility to learn them.
@firstnameylastnameo48484 жыл бұрын
Thanks for your video. I would like to design an experiment with 3 factors but each factors have many levels, not necessarily with the same number. How can I do that?
@ramdasmenon09082 жыл бұрын
The simplest way it to use the generalized factorial option in Minitab. The R Programming Language also has several DOE packages that you can use. You can do this in Excel also, though it will take some doing.
@gerryberard32314 жыл бұрын
Very nice example. Thanks for sharing.
4 жыл бұрын
Nice! Keep it up! Would you like to be KZread friends? :]
@JohnDaniel95 жыл бұрын
God Bless you. This is what I needed. Thanks.
@anuradhagoswami6286 жыл бұрын
Hi, this video is been so useful for me thank you so much.i also request if you have such design for 3 levels (-1,0,1) and usually 4-5 factors. if can provide me notes at [email protected] this can be a big help
@dotbstudios7 жыл бұрын
Well done!
@zahraaabdulsattar95657 жыл бұрын
nice video ....i am new for DOE and minitab i have some queries > what is the meaning of (standard order)(run order)and (center point)>> and how could i work if i have more than two levels
@BJosek7 жыл бұрын
Standard order- Experiment order as it appears in DOE Minitab table. Run order- Sequence in which experiment is conducted. Some times we may not follow standard order due to resource restrictions. For example, in an 8 run, DOE standard order will be 1,2,..,8 and run order could be 3,2,8,7,1,4,5,6. Center point- Mean value of high level and low-level setting. Say low-level setting is 200 V or high-level setting is 240 V then the center point is 220V.
@nsnarahari19717 жыл бұрын
useful video for starters.
@maheralabsi66907 жыл бұрын
Amazing Thank you so much..
@gagandeepubhi26837 жыл бұрын
Excellent illustration!
@souvikdey688 жыл бұрын
what if there are more than one replicates????
@ajayasuriya778 жыл бұрын
Hi I am a beginner in Minitab 17. in 2:45 you talk about the "Terms" It rolls down 1,2,3,4. For each number, I get different Pareto charts. Could you explain the importance of having such numbers separately. And when we use what number for which occasion. Your answer would be highly appreciated. Thanks.
@carinsita9198 жыл бұрын
Hi Anuruddha, the numbers 1, 2, 3 and 4 relate to the number of factors (4) there are for your experiment. If you select only terms to the order of 1 it means that only each separate effect between the factors and the response are reflected in the Pareto chart. If you select 2 or 3 then you want to evaluate if the interaction between the factors has any effect on the response and not only the factors by themselves.
@paawantoor18 жыл бұрын
why the factors ABCD has 1 and -1 factor, usually it is 0,1 and -1..?
@adrianvega99464 жыл бұрын
Because not using centerpoints. Using a centerpoint is to find out if there is a curvature. And if we intend to use linear model then isn't needed.
@paawantoor18 жыл бұрын
to find out quantile, why it was first 1/20 then 1/10+(1/20) then in residuals it was 1/32 and 1/16+(1/32)? reason for selecting factor 20 and 32?
@Underthelab6 жыл бұрын
hey there, thank you for your useful video, kindly could you assist in the question by Rose. Your assistance is appreciated
@vincewest57906 жыл бұрын
In looking at the effects, there were 10 effects, four first order effects and 6 second order effects. Normally distributed these should fall into 10 equally divided quantiles, hence the 1/10 increment. The first quantile being 0-10, the mid point is 5 percent or 1/20, and the next is 15 percent, or 1/10 + 1/20, and so on. For the residuals, there were 16 points that if normally distributed should be in 16 equal quantiles. Using similar logic the first midpoint is at 1/32, and the second quantile midpoint is at 1/16 + 1/32. Hence these numbers are just based on the number of normally distributed points to evaluate.
@svaranasi5425 жыл бұрын
@@vincewest5790 This is very great inf, kindly please tell abt the calc
@chandrashekharb80735 жыл бұрын
@@vincewest5790 But she sorted the effect list from smallest to largest, why didnt she do the same for the quantiles?
@vincewest57905 жыл бұрын
Chandrashekhar B, I don’t remember the video exactly but you have to sort the effects so you can put the into quantiles which are ordered from smallest to largest by definition
@liwenli78738 жыл бұрын
Darryl Morrell had the exact same video as yours, the title is "Analyzing a single replicate of a 2k experiment with Minitab". surprisingly, you two had the same data.
Пікірлер
Great, thanks. You can also use a neat AVERAGEIFS function in your mini matrix at 17:20
I appreciate your honest about not being able to spell. Marines are largely in the same boat.
why are the beta coefficients divided by 2 ?
im in her class. she never explained it.
Excellent presentation Thank you
Can you fix the background static? kind of unprofessional to be paying so much money for these classes and to have these lectures presented to us with Audio that makes my ears bleed.
You must be a drama student!
@@AlbertZiegler069 I agree with Albert, the teacher should give the minimum amount of importance to video quality. If that means acquiring new video recording skills, then it is her responsibility to learn them.
Thanks for your video. I would like to design an experiment with 3 factors but each factors have many levels, not necessarily with the same number. How can I do that?
The simplest way it to use the generalized factorial option in Minitab. The R Programming Language also has several DOE packages that you can use. You can do this in Excel also, though it will take some doing.
Very nice example. Thanks for sharing.
Nice! Keep it up! Would you like to be KZread friends? :]
God Bless you. This is what I needed. Thanks.
Hi, this video is been so useful for me thank you so much.i also request if you have such design for 3 levels (-1,0,1) and usually 4-5 factors. if can provide me notes at [email protected] this can be a big help
Well done!
nice video ....i am new for DOE and minitab i have some queries > what is the meaning of (standard order)(run order)and (center point)>> and how could i work if i have more than two levels
Standard order- Experiment order as it appears in DOE Minitab table. Run order- Sequence in which experiment is conducted. Some times we may not follow standard order due to resource restrictions. For example, in an 8 run, DOE standard order will be 1,2,..,8 and run order could be 3,2,8,7,1,4,5,6. Center point- Mean value of high level and low-level setting. Say low-level setting is 200 V or high-level setting is 240 V then the center point is 220V.
useful video for starters.
Amazing Thank you so much..
Excellent illustration!
what if there are more than one replicates????
Hi I am a beginner in Minitab 17. in 2:45 you talk about the "Terms" It rolls down 1,2,3,4. For each number, I get different Pareto charts. Could you explain the importance of having such numbers separately. And when we use what number for which occasion. Your answer would be highly appreciated. Thanks.
Hi Anuruddha, the numbers 1, 2, 3 and 4 relate to the number of factors (4) there are for your experiment. If you select only terms to the order of 1 it means that only each separate effect between the factors and the response are reflected in the Pareto chart. If you select 2 or 3 then you want to evaluate if the interaction between the factors has any effect on the response and not only the factors by themselves.
why the factors ABCD has 1 and -1 factor, usually it is 0,1 and -1..?
Because not using centerpoints. Using a centerpoint is to find out if there is a curvature. And if we intend to use linear model then isn't needed.
to find out quantile, why it was first 1/20 then 1/10+(1/20) then in residuals it was 1/32 and 1/16+(1/32)? reason for selecting factor 20 and 32?
hey there, thank you for your useful video, kindly could you assist in the question by Rose. Your assistance is appreciated
In looking at the effects, there were 10 effects, four first order effects and 6 second order effects. Normally distributed these should fall into 10 equally divided quantiles, hence the 1/10 increment. The first quantile being 0-10, the mid point is 5 percent or 1/20, and the next is 15 percent, or 1/10 + 1/20, and so on. For the residuals, there were 16 points that if normally distributed should be in 16 equal quantiles. Using similar logic the first midpoint is at 1/32, and the second quantile midpoint is at 1/16 + 1/32. Hence these numbers are just based on the number of normally distributed points to evaluate.
@@vincewest5790 This is very great inf, kindly please tell abt the calc
@@vincewest5790 But she sorted the effect list from smallest to largest, why didnt she do the same for the quantiles?
Chandrashekhar B, I don’t remember the video exactly but you have to sort the effects so you can put the into quantiles which are ordered from smallest to largest by definition
Darryl Morrell had the exact same video as yours, the title is "Analyzing a single replicate of a 2k experiment with Minitab". surprisingly, you two had the same data.
Thank you so much...
Thank you very much!!!
so informative thanks