CUSUM - Training for Professionals

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@tinamisra6787 5 сағат бұрын

v good explanations provided! good video for learning basics and anyone getting to know minitab stats bit better!

@sonicspin77 19 күн бұрын

Hola! Antes que todo felicidades por sus videos, es usted un excelente profesor. Solo tengo una duda. En el minuto 2:20 usted comenta que la tolerancia del proceso es de 0.5 in, pero en el cálculo (2:25) usted introduce el dígito 0.05, es por alguna situación en especial el recorrer el punto? Saludos y excelente trabajo!

@BNT05 6 ай бұрын

Hello there at CUSUM, thank you so much for this content. I have learned a lot... However, I would like to know: 1. In your example on salary, I am told that they normally don't follow normal distribution: you didn't consider that because you wanted to just show us how minitab work? 2. When you were doing both 1 and 2 sample t-test, I didn't see you do a normality test: isn't it that important to do a normality test prior to doing a hypothesis test? Again, thank you for your educational materials.

@CUSUM-ACADEMY 6 ай бұрын

Hi BNT05! Thank you for your question :) Regarding Number 1: Salaries don't normally follow normal distributions since there are usually a significant amount of high earners in any population, for example if we asked 20 random people what they earned most of them would fall in the same category, let's say 50K per year, but there will likely be a couple that exceed 100K or more in that same study, so the graph is clearly not symmetric, in this scenario a weibull distribution will likely be a better fit. Regarding Number 2: From an academic standpoint yes, Hypothesis tests for 1-Z, 1-T and 2-T assume normality in the data. Still it isn't as important as we might think since the hypothesis tests challenge the data set means (averages) so the overall spread of the data is more relevant for power calculations (A different topic). If you are just comparing two sets of data and want to determine if the means statisticallly differ then a 2 sample t test is adequate even if the data is not normal (From a practical application of the concept, academics and purists would likely say this is not valid but empirically there should be no issues) Take care and happy learning! Sincerely, QE NPI Andres R.

@BNT05 6 ай бұрын

@@CUSUM-ACADEMY Thank you so much for your insights here. Such a quick response as well 👏 . Thank you,

@MallayyaBhusanuramath 7 ай бұрын

Kindly requesting you to unhide Minitab training videos

@HarveyHuang-je2to 8 ай бұрын

hello CUSUM, it seems you had deleted most of your videos from KZbin, wondering why?

@CUSUM-ACADEMY 8 ай бұрын

Hi Harvey! Thank you for asking, we started getting harassed by a third party and had to remove most videos for a while (not Minitab, those guys are awesome), we'll have other content to replace them in a couple of months. Thank you for asking and keep learning! Sincerely QE NPI Andres R.

@douglasnavarro6971 9 ай бұрын

There was a video you guys did on Minitab that was just about an hour long (not this one). It included things such as Regression Testing, Control Charts, Pareto Charts, FishBone Diagram, and Histogram. But now it seems that it was deleted. Any chance it may be uploaded again please? I need it asap. Thank you

@ibragim_on 10 ай бұрын

Assumption of normality?

@CUSUM-ACADEMY 10 ай бұрын

Hi Ibragim, that is correct.

@alexbarsan4852 10 ай бұрын

Great content so far I have watched!

@hubertjfpalumbo2451 Жыл бұрын

Merci beaucoup , très utile refresh .😀

@salaheldin00 Жыл бұрын

Amazing lecture indeed 🏆

@emiljakob8339 Жыл бұрын

Minute 7:38: how do you know that we have three standard deviations toward the right and three to the left. How have you determine the three?

@emiljakob8339 Жыл бұрын

One of the best explanation and tutorials that i have seen. Thank you team!

@danishahmed4355 Жыл бұрын

Any one help me about minitab project

@mikevangelder Жыл бұрын

WOOOOOOOHHH!!! YOU ARE AMAZING!! YOU ARE THE BEST!!!

@ivokovachev9320 Жыл бұрын

Amazing video, very helpful!

@richardvantoorenburg4269 Жыл бұрын

I really like the courses! Good pace, understandable content, nicely presented. One thing I would like to add. It is very important to understand that all that is mentioned here is only valid if you can trust the data! So having done a MSA to prove the measurement system is capable and that the data is kept safe and cannot be altered is imperative. Keep up the great work! Kind regards Richard from the Netherlands (Quality consultant and Quality Director)

@1887-z6d Жыл бұрын

Summary: 1. Module Overview: Module 4 of "Quality Control Part 2" focuses on analyzing data using Minitab for preventive measures and understanding process behavior. 2. Control Charts: The module introduces control charts to monitor processes on an ongoing basis, enabling adjustments to maintain process stability. 3. X-Bar and R Charts: The session demonstrates creating an X-Bar and R chart using Minitab to analyze process means and ranges, allowing for effective monitoring and adjustment. 4. Control Limit Adjustment: The instructor explains how to adjust control limits based on desired specifications, emphasizing the importance of recognizing process shifts and variations. 5. Pareto Chart and Distribution Identification: The module covers using Pareto charts to identify main issues and determining data distribution using Minitab for effective process performance evaluation and continuous improvement.

@1887-z6d Жыл бұрын

- Module 3 focuses on quality control using Minitab, crucial for quality and manufacturing engineers. - Topics covered include capability analysis (CPK vs. PPK), control chart graphs, Pareto charts, data distribution analysis, and capability studies for non-normal data. - CPK is a measure of process variation within specifications, determining how many times it fits inside the tolerance. - The tutorial demonstrates calculating CPK using Minitab with a wood manufacturing process example. - Emphasizes the importance of minimizing process variation to improve fitting within specifications and preventive measures in quality control using control charts.

@1887-z6d Жыл бұрын

Summary of "Sampling Plans - Minitab Masters Module 2": 1. Module overview: "Sampling Plans - Minitab Masters Module 2" is part of a specialized course for quality and manufacturing engineers, focusing on Minitab usage. 2. Importance of sampling plans: Sampling plans are vital for both quality and manufacturing engineers to ensure product quality and better design manufacturing processes. 3. Key concepts covered: The module covers fundamental statistical concepts such as standard deviation, process mean, and process specifications, along with quality control roles and terminology like AQL, RQL, producer and consumer risk. 4. Box plot analysis: The transcript describes a demonstration of box plots to analyze and compare data spreads, emphasizing the importance of understanding data distribution. 5. Acceptance sampling plans: The module discusses acceptance sampling plans, emphasizing the balance between assuring quality and controlling costs by selecting appropriate sampling sizes and rejection criteria based on defect tolerance.

@1887-z6d Жыл бұрын

1. **Module Purpose and Focus** - Module designed to train individuals in using Minitab for statistical analysis. - Target audience: new engineers, interns, and students aspiring to be experts in Minitab. - Focus on specialized training for Quality and Manufacturing Engineering. 2. **Module Content Overview** - Intro to statistics and basic concepts, including variable and attribute data. - Understanding data distributions, normal and non-normal data, and probability. - Exploring basic characteristics of data: mean, median, quartiles, min, max. 3. **Usage of Minitab** - Emphasis on utilizing Minitab (versions 16, 17, 18) for analysis and graphs. - Executing basic statistical tests: normality and hypothesis tests, creating graphs. 4. **Understanding Data Distributions** - Explanation of data distributions, including normal, non-normal, and Weibull distributions. - Demonstrating how to generate and analyze random data using Minitab. 5. **Statistical Analysis and Interpretation** - Explanation of statistical concepts like confidence intervals and p-values. - Demonstrating practical application through comparing salary data and sample testing scenarios.

@tsegayberhe6494 Жыл бұрын

how can i get your slides

@CUSUM-ACADEMY Жыл бұрын

Slides are included as part of our online courses available at www.cusumAcademy.com In case of any questions you can also email us at [email protected] Take care!

@DRZME400 Жыл бұрын

During the lecture @33:35 you state that we can make Minitab tell you what distribution you have but you never go on to show this. I assume in a later module?

@ejetalucky6967 Жыл бұрын

Thanks for this educative video. How about using it for multiple independent variables?

@NwankwoIfeanyi-j5k Жыл бұрын

Good job, I love this. Thanks for the brilliant explanations.

@shahbazmomin786 Жыл бұрын

Best learning experience Thank you!

@zeke2798 Жыл бұрын

Thank you so much, this course is so valuable for me as a Quality & Process Trainee with a very low budget haha! Thank you again ♥

@CUSUM-ACADEMY Жыл бұрын

If you have Minitab/Statistics/Validation questions email us to [email protected] Join Mastering Statistics and Minitab: The Complete Online Course to Becoming an Expert at SPC, DOE, MSA, Ppk and Sampling Plans With 30% Off using Code Statistics30 www.cusumacademy.com/p/Mastering-Statistics-Minitab

@matheusaugusto4396 Жыл бұрын

Awesome explanation. Keep going and Thank you!!

@getsusa1674 Жыл бұрын

You really did a good job to help me work wtih minitab! thank you

@anukuttan2138 Жыл бұрын

Hi sir Im having a doubt in this

@ericshea415 2 жыл бұрын

Hi great tutorial! Noticing at 26:22 the reference lines don't precisely intersect with the OC curve. Is there a reason for this?

@CUSUM-ACADEMY 2 жыл бұрын

Hi Eric, pass fail sampling plans use individual units of measurement, you can take 315 samples or you can take 316, but it is impossible to sample 315.2 units, because of these rounding errors OC curves will not intersect perfectly except on very unique sampling plans. We could also adjust the reference lines to provide greater resolution on the conclusions but overall the rounding errors are negligible for manufacturing processes. If you have further questions please email us to [email protected] take care!

@sjsphotog 2 жыл бұрын

Great job on all your great videos. Keep it up

@sjsphotog 2 жыл бұрын

Another fantastic tutorial here. These are the basics of what all IEs and QEs should be using to analyze all their key process data on the shop floor to continuously improve. thanks so much for all your hard work on this

@sjsphotog 2 жыл бұрын

Good stuff. Thanks so much

@sjsphotog 2 жыл бұрын

Fantastic tutorial video here. Very well done. Kepe it up.

@sjsphotog 2 жыл бұрын

Excellent presentation . tutorial. Clear voice and examples. Great job. Well done. Adding this to my refresher Playlist for Minitab. Keep up the good work