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@pyzdekinstitute 2 ай бұрын
A student asked: If the "Total sim" does not fit to a Normal distribution (in order to applicate the process capability analysis), should I transform this (Box Cox for example) only for "Total sim" or should I transform each one (C8 -C9)? The answer lies in the Central Limit Theorem (CLT), which states that the sum of a large number of independent, non-normally distributed variables will tend to follow a normal distribution. Therefore, "Total Sim" will be close enough to normal in nearly all practical circumstances, so you don’t need to transform the individual variables either. The CLT ensures that the sum of non-normally distributed variables tends to normalize, regardless of the distribution of the variables being summed. Moreover, applying a transformation to the simulation results could potentially distance your analysis from the real-world scenario you're trying to model. And it’s important to note that normality is not a strict requirement for process capability analysis. With simulation, you have the advantage of running a large number of iterations, which means you can rely on the observed results to serve as your estimated yield, rather than fitting a specific distribution to the data. In summary, trust the CLT to handle the normalization, and focus on the observed results from your simulation rather than worrying about transformations.
@joaovictorpaiva5645 2 ай бұрын
Thank you so much! It helped me a lot. I wasn't understanding what the mean rank meant. Greetings from Brazil!
@caplong2000 4 ай бұрын
Hello, Please tell me how to calculate the limit line Thanks!
@SD-un3ii 4 ай бұрын
What to do if variances are not equal in ANOVA Test, which test to be performed for multiple variables, continuous normal data but unequal variances. Hoping for your reply soon.
@pyzdekinstitute 4 ай бұрын
When you have multiple variables, continuous normal data, but unequal variances, you can use a few different approaches: 1. Welch's ANOVA: This is an adaptation of the traditional ANOVA that does not assume equal variances. It is designed to be more robust when variances are unequal. 2. Kruskal-Wallis Test: If you are not certain that your data is normally distributed or if it is ordinal, you might consider this non-parametric alternative to ANOVA. It does not assume equal variances or normality. 3. Generalized Least Squares (GLS): This method can handle unequal variances by modeling the variance structure. 4. Transformations: Sometimes transforming the data (e.g., using a logarithm) can help stabilize variances and make them more equal. If you’re interested in diving deeper into statistical methods and improving your problem-solving skills, consider enrolling in our Lean Six Sigma Black Belt training. Our program covers a wide range of advanced techniques and tools, including handling complex data scenarios like this one.
@SD-un3ii 4 ай бұрын
@@pyzdekinstitute It is helpful, Can I get this test in Minitab.
@NurAini-nc5nw 5 ай бұрын
What year version of this minitab?
@pyzdekinstitute 5 ай бұрын
I believe it’s Minitab 16. We should have a newer version of the same video using a newer version of Minitab in our library.
@demitrowsdale3256 6 ай бұрын
Hi, so what does the Z-value tell us?
@demitrowsdale3256 6 ай бұрын
This video has been very helpful, thanks so much. I didn't understand much at all before but this has put it in the best way! Liked and subscribed :)
@ladduram-gj8xz 10 ай бұрын
Very helpful video. Really appreciate it.
@cesarmg4642 Жыл бұрын
simple and useful explanation. thank you very much!
@vivianonuigbo6899 Жыл бұрын
This is totally understandable. I understood this with no stress.
@kyrielynch6674 2 жыл бұрын
quick and simple. great!
@Krzysztof_Bielański 2 жыл бұрын
Sorry, but you did something what was simply very difficult...
@KhaLed-pb4pu 2 жыл бұрын
@5:50 where is the post-hoc test to separate the means using different letters?
@halshehri-s3g 2 жыл бұрын
How can I apply three way of four way on Anom, please
@debatradas1597 3 жыл бұрын
Thanks
@عبدالله-س7خ9ح 3 жыл бұрын
👍👍👍👍👍👍👍👍👍👍 Iove u
@mohamedanwar239 2 жыл бұрын
تتميز وظظ
@alrafikri 4 жыл бұрын
Thank you!
@sefat-e-barket9473 5 жыл бұрын
Sir,where's the interaction?
@mberryfr 5 жыл бұрын
that doesnt explain how minitab works
@memifer9797 5 жыл бұрын
what's the excel formula for FV? thank you
@JuanRivera-vw5ww 5 жыл бұрын
Hi Jennifer, The formula for Future Value is simply =FV(). Below is the syntax. =FV (rate, nper, pmt, pv, type) where rate - The interest rate per period. nper - The total number of payment periods. pmt - The payment made each period. Must be entered as a negative number. pv - The present value. If omitted, pv=0. type - Is a value representing the timing of a payment. Payment at the beginning of the period = 1; payment at the end of the period = 0 or omitted.
@mohankumar-lc3pm 5 жыл бұрын
Thanks for the quick video.....
@temich1985 6 жыл бұрын
Appreciate the tutorial! Really helped me with the Design of Experiments class thank you :)
@xergrulz 6 жыл бұрын
i just did step by step and it doesnt give me means data? it skips from model summary to residual plots for defects? how do I get means data as well?
@lavienbee9153 10 ай бұрын
Mee too