About root cause analysis?
342237
Basic Problem Solving technique.\nTo identify the real cause or root of a problem. For the engineer to understand this will allow him/her to improve the design.\n\ni.e. A car stops producing heat for the occupant. After checking the coolant supply which heats the heater core which air is blown across it is determined there is no coolant moving into the core. Further discovery the control valve is not working. One would stop here and just replace the valve. The engineer continues to research the problem with the vacuum driven diaphram to determine there is debris obstructing its movement. Why, because the valve is exposed to the rain/snow/salt (root cause) from the road. A new design helps to protect the valve from such common elements.
52521
job analysis can mean many things.  In what context?\n\nlike description, effectivness, resault
195594
heres 1 from my university. dont know how much itll help.\n\nhttp://www.upscale.utoronto.ca/PVB/Harrison/ErrorAnalysis/index.html
86577
Multivariate analysis is a statistical technique to examine the effect of many variables on a single outcome.  For example, if you were studying what factors go into the price of a house, you might collect data about location, age of the house, and size of the house.  You could then perform a multivariate analysis to determine the relative contribution of each of those factors to the price of the home.
171054
why is the reason.\nwhat is the action.
1063323
Hi,\n\nfor known ABAP dumps, if you have OSS access you can search related Note.\n\nOr you can join yahoo group SAPZoll and post your problems related to BASIS.\n\nThanks\nYatin Bhatt\nThe Moderator of SAP Zoll
999966
Failure Modes and Effects Analysis (FMEA) is a tool used to prioritize problems or failures. Once you have identified the process or service then you need to \n1.)List the potential problems\n-What could go wrong?\n2)Rate each problem for Severity, Occurrence and Detectability\n-use a 1-10 scale, 10 is the biggest problem\n3)Calculate the Risk Priority Number (RPN)\n-multiply the three factors\n4)Take Action to reduce risk\n-focus on higher RPN's first and attack the severity, occurrence,  detectability, or all three.
649920
http://www.edhelper.com/Word_Roots.htm
184869
Yes this is the special form cause of loss. I do not know where on the internet you can pull a sample copy, most of the online sources require log in or a subscription service.   email me at crackers_5150@yahoo.com and I can email you a sample if you tell me what edition number you need.
120378
http://abstracts.aspb.org/pb2004/public/P28/7904.html\n\nhttp://www.nio.org/jsp/analytical.jsp
880967
Go to the library and get books or articles about "post-mortem" analysis (in business).  You might also look up "reverse engineering", though it's not exactly what you need, but the intellectual techniques might be similar and helpful.\n\nAlso, poke around at isixsigma.com - there's a forum there, and though there's a group of regulars who can be first-class pricks, you might get a good answer there.  Also some good links to articles there.
404227
I think you will have much better success if you narrow the subject area. The tighter the niche the better. For example,if you want to know about fracture mechanics of aluminum substrates, you will not be interested in someone dealing with die bond failure of copper interconnects in semiconductors. Failure analysis is too segmented for a generalist to have much of an input. (I'm a generalist fwiw)
799374
ok. i think i know what you're asking.\n\nDo you have a chart from whatever you're doing filled with information? Put that in your Results and Analysis section.\n\nBasically, just put anything with numbers into that section.\n\nYou could try to be just a little more vague when asking your question though  ;)
375229
Your question isn't very clear.  Try again.\n\nYou might be thinking of the different approaches that can be taken in descriptive studies and experimental studies.  Descriptive studies look for qualitative and quantitative differences between groups, and can be analyzed using very basic chi-square, analysis of variance, and regression techniques.  Such tests can establish associations and correlations among set of variables, but they cannot be used to evaluate causation, i.e. we could say that A is strongly correlated with B in a certain group, but we cannot say that A causes B or vice-versa.\n\nIn experimental studies, observations are made in such a way that statements about causality can be made, whether the outcome is a disease or a treament for that disease.  Experimental studies should always have at least two arms, one for the intervention or exposed group, and one for the control group.  The results can be analyzed in many different ways, including analysis of variance, multiple regression, logistic regression, proportional hazards models, and life table analysis.  The results permit definite statements about whether or not exposure A is likely to be a cause of disease B, or whether treatment A is more effective, less effective, or no different than treatment B or a placebo.\n\nI hope this helps.
832630
Look for connections: causes and effects.\n\nGOOD Question!
341302
Work on logic games; that can help with general reasoning. \n\nWhat are you trying to analyze? Work situations? Shipping? Personnel? There's a lot of books and resources, some probably available at your library, that give strategy for various aspects of business. Sorry I can't be more precise, but your question is very broad.
100009
I am not quite sure what the question is. What should the manufacturer do? Did they already do the experiments or do you want to know what sort of experiments to do? Do you want to know how to reduce the data? How to present the data? What statistical tools might be useful?