Andy, You are good. i am not in the profession you are discussing but your explanations are very satisfying and easy to follow. Thank You. I fall on you for some statistical explanations.
Wow! I have been trying to understand this concept for so long. I have referred to so many articles and videos. I wish I had found this sooner. I finally understand it. Great job!
That was an awesome amount of material packed into 21 minutes. Thanks for sharing your knowledge Andy. I'm looking forward to watching more of your videos.
Hi Andy, your material and teaching style help so much. Most importantly, you are able to break down the problems and tackle them into digestible explanations for your students. This definitely makes learning sustainable! This is great. Thank you.
Hey Andy The Risks Management Session is indeed a eye opener Especially run through the different Risks within the different Objectives areas Impressive Keep up with the good work Regards Basil
We use these values at work quite often. I'm still a green process engineers only about 1.5 years in my current role. This video has cleared up what I am actually calculating when analyzing the data collected from the manufacturing trials. I am in awe how much I have learned about my own role and how well you explained this topic. Thank you.
PMP aspirants will immensely benefit by learning and practicing 7 QC tools Lakshman Rao ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-0uTnZVDaJJI.htmlsi=msF_DHUB-ECX21jo
Dear All PMP Chart on Essential aspects and Formulas on Statistical Methods which I have designed and developed for ready reference to Six-Sigma TQM and PMP is available for interested as a soft copy for Rs 250.This single page A3 size chart is a ready recorner which i had designed and developed for my training programs workshops while was at EWC Honolulu and Hawaii University Business School for 40 day crash program on Stanford Methods for Researchers and be useful for PMP and Six-Sigma TQM consultants and practitioners. The Chart contains basics of Statistical Methods, Graphs,with illustrations including Data collection sampling analysis interpretation reporting Testing Hypothesis Correlation, Estimation theory,Three point formula for Time and Cost estimates for Project management, ANOVA ,Multiple regression,scatter diagrams, curvefitting, Confidence interves,The Bell Normal curve and its Significance in Project Management, 3sigma leves,computing Standard deviation, Error minimizations,Probability and Risk evaluating, Sample size needed for enhanced quality of estimates.... This chart will be of immense help if coupled with detailed explanation though a three week online and offline interaction with a Statistician I am sharing this communication with deep concerns for PMP program participants With Best wishes Dr.H.K.Lakshman Rao MSc MPhil MA M.ED PhD Retd.MBA Prof Krishnapuŕi Chennai 600 028 WA 93810 36989
great content! thank you and congrats! really! quick question, do you have one or two books/titles to indicate, which you were based on to make this video?
Hi Andy, i have seen a scenario where If PP and PPK fail to achieve the minimum requirement e.g. 1.67 but CP and CPK passes. The big factor is the tolerance is so small it doesn't leave much room for any process variation as PP and PPK is long term. What are your thoughts on this due to tight tolerances?
That's a great question, to be honest when you have tight tolerances it can be very difficult to have a capable process. Which is why when you're designing a new component, you have to pick the tolerance of your part with the manufacturing process in mind so that capability is achievable.
Hello Andy, Thanks for the video. I wanna know one thing if we take multiple samples and run them for specific hours what will be the operation cycle in that case in the MTTF formula or failure rate formula. will it be the (duration for which we run those samples) or (samples multiplied by duration for which we run the samples)
Hello Andy, please let me ask a very elementry question. If we want to increase Cpk value we should increase the numerator of that fraction. Since the specification limits are directly influenced by customer how to increase it? Thanks.
