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August 26, 2006 at 10:13 pm #142382
Hello,
Can you add me to that list
[email protected]
thank you0December 30, 2005 at 2:48 am #131709Darth,
Sorry, I don’t really understand what you meant. Do you mean we can set the null hypothesis as a “not equal” statement, and set alternative hypothesis as “equal” statement? How can we set this in Minitab?
Please advise
CG0December 30, 2005 at 1:29 am #131707Doma,
If not mistaken, we cannot set any hypothesis we like in minitab. We cannot set not equal null hypothesis….
Please advise what to do in that case0December 22, 2005 at 9:26 am #131493Thanks Anirvan Sen. I am studying about the standard deviation. I will post my question up again if I got any problem. Thanks a lot.
0December 22, 2005 at 3:40 am #131486Sample = subgroup. We cannot calculate the mean and std dev of the population by getting all data in population. we can only randomly sampling some data (subgroup or sample with sample size n) from population, then estimate the parameter of the population based on the calculation done on subgroups or samples data
0December 22, 2005 at 2:39 am #131483Hanna,
This is the definition of 95% confidence level. The true popuplation mean is located within the 95% confidence interval for mean of the samples
It means that among 100 subgroups with sample size n you collected from a population, the will be 95 of them having the population mean located within the 95% condifence interval for mean of samples, in other words, 5 of them are having the population mean out of the 95% confidence interval for mean of samples.0December 22, 2005 at 2:13 am #131481Siva,
I got a few questions:
1. Sometimes the value of improvement alone is not enough to conclude anythings. For example I have improved the cycle time by 100 hours, but if the original process take 10000 hours, I only improved by 1%. However is my origianal process take 200 hours, I have improved it by 50%. Thus I can say that the second improvement is better compare to the first improvement, am I right?
2. If we only comparing the mean of the improvement, doesn’t take care of the spread (standard error of mean). there may be a high possibility that the initial and improved process are overlapping. For example, if I got one process initially the cycle time is 100 hours (95% confidence level is 80 to 120) compare to improved cycle time mean is 50 hours (95% confidence level is 40 to 60), then can I said it is at least reduced by 20 hours within 95% confidence level? The second case is the initial process cycle time is 100 hours (95% confidence level is 70 to 130) and the improved process cycle time is 50 hours (95% confidence level is 25 to 75), then the improved process seems may be worst than the initial process in some period of time. Thus the improvement for the second case is not as good as the first one, am I right?0December 22, 2005 at 1:57 am #131480Siva,
You mentioned that all the tests are independent.
However, if we have the 0.95 probability that our randomness test correct, 0.95 probability that the normality test correct, 0.95 probability that equal varaince test correct and 0.95 2sample t test correct.
Then, should we say that we are making a final conclusion on probability (0.95)^4 = 0.81, is it correct?
CG0June 13, 2005 at 6:31 am #121270See Vikas,
u came up with an excellent solution urself..and then it looks like you might have get in touch with your HR head and explain to him the money which he is losing if he is not signing MOU with other companies..
One more solution for attrition is –> another site at a place where a place where supply for manpower is high and demand is less..I am talking about the nonmetro location’s..See earlier the challenge which services industry were facing was of connectivity..and now that is not an issue….now the issue is good manpower..so we can move ahead in that directions..different services/BPO are already working towards the model..imagine u have a strength of 10000 people and 1000 ppl working in 10 different locations..wow..i m looking at the benefits plus the cost of infra..relative products will be less as well…its just the lateral shift which we need to think about ..as Mr. Sharma was pointing out…
Hope it helps!!
CG0June 10, 2005 at 12:42 pm #121163Vikas,
Nothing is impossible,even impossible is I M Possible..Actually let me add some points to it…Attrition is good and bad for business in some ways or the other
Good:If the employee is not upto the expectation of the goals which the employee (it depends on the company till how much time they can hold on the employee)..we might wanna call it involuntary attrition..We can actually add a lot of points in it..
Bad: we know this answer so we dont have really have to drill on the same
One thing we can do about attrition is we can control the same..I know a lot of organization which avg. time to work in a company is more than 9 months–I am talking about call centreBPO industry..Its also about Employee satisfaction,and how u challenge ur employees in different ways or the other..
Check out the pay structure of company like LG..the employees have a very hard time quitting the organization..
and point which u r mentioning regarding mismatch is one of the causes where the target’s for recruitments for HR are too high..or if ur recruitment process is not fool proofever tried running an FMEA for recruitment process..u will get a solution for the same..
0March 15, 2005 at 4:26 pm #116393See it depends,there can interdepartmental projects or departmental projects ,something like Attrition with involve ops ,training ,HR etc.However, for same department topics like Trasnport issue’s (cab not arriving on time–> major issue’s in BPO’s) could be an admin related project.So ,it depends on your project scope where you want to apply the methodology..
CG0March 15, 2005 at 2:01 pm #116388Roy,
It has been applied in BPO industry successfully in different departments including migration,training,HR,quality complaince,process excellence amongst others.
CG
0August 19, 2003 at 5:09 pm #88996What is the acceptance of statistics and statistical tools in Japan, in support of various quality initiatives?
0 
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