I have a regression model which gives me R squared results only between 26-35 % . What can I do for that?? ( additionally, p value below 0,05, Pearson correlation r=5,4, and there is positive relationship between the variables X, Y. ).
Hi. Please, confirm. In minute 3:25 mentions p-value less than the significance level of 0.05 and then "reject the null hypothesis that the data are not follow a normal distribution". Shouldn't it be "reject the null hypothesis that the data follow a normal distribution"?
Bravo. I come across those business strategy by making desk research in economy such as ABC analyze, JIt ( just in time ) FIFO, FILO, Lean and Six Sigma. They are all the in basic company economy book.
Type 1 gage study is to evaluate both effect of bias and repeatability.In this case,the measurement variation or repeatability has better performance.You can further perform bias and linearity study to further confirm the accuracy.
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Hi! Thanks for the video, great guidance!. . . Question: What do you do if your data has a lognormal distribution, but it fails the stability aspect? The data has points outside the control limits
Hello, how is MSA (Measurement System Analysis) conducted on parts where destructive testing is performed? There are controls where we can’t reinspect the part. What kind of method do you apply?
TRIZ is a branch of logic which focuses on resolving contradictions or conflicts. This distinguishes it from other creativity methods where Ideation is done with help of brainstorming. The other strength of TRIZ is patterns of technology evolution which are very generic and can help in predicting shape of things to come.There were 9 major trends identified by Altschuller and there are many subtrends.
The video could have been funny cat tricks and it would have been just as relevant to the dialogue. In real life the focus on SMED is the kind of annoying stupidity that disconnected managers inflict on the plant floor workers who have enough problems to worry about already.
As the example in video, how to determine and assume the population standard deviation is 360 sec? in pratically, that should be based on baseline? or other reference?
Great explanation, however, I am still confused on the "repeatability" part. Both Type1 Gage Study and Gage R&R determine the repeatability, is there any difference between the Type 1's repeatibility and the GR&R's repeatability?
A Type I Gage Study measures "pure" variability from the measurement device by taking repeated measurements on the same part. If the Type I Gage Study is not acceptable, then the MSA result will not be acceptable, so a Type I Gage Study should be done first to save time. If the Type I Gage Study is acceptable then you can do a MSA that takes into account the variability due to the device, the environment, the procedure, the parts, and the operator - all parts of the measurement system. When evaluating an MSA for repeatability, it gives you an indication of how the system performs, not just the measurement device.
