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Prasoon Bhargav

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Everything posted by Prasoon Bhargav

  1. Dear All, We have extensively discussed applicability of Six Sigma tools and techniques in our workshops, however, when I discuss Six Sigma application in sports, a significant percentage of participants find it unusual. Here is an example: Author Steven Falk wrote "Six Sigma Tennis" upon returning to Stanford Tennis after recovering from a Traumatic Brain Injury (TBI) to share his successful methodology with tennis enthusiasts, students, and instructors. Please refer to links below to learn more http://www.prnewswir...s-90204382.html http://www.stevenf
  2. Dear All, Please see below a query posted by a past participant. Please feel free to respond to this query. Regards, shantanu kumar --------------x--------------------------x-----------------------x--------------------------x--------------------------x---- Hi Shantanu, Hope you are doing well. I was trying to understand p-charts. Consider a case where in the output is varying and defectives are identified. Data for the same is as follows. When I tried to plot a p-chart for the same in Minitab, the UCL line varies as shown because of varying output, but a value of UCL (0.05439) is
  3. I am posting a question asked by Shijoy Varghese Shijoy Varghese asks: 1) When I create the current state value stream how do I eliminate the decision boxes as there should be no decision boxes in the current sate VSM 2) When I calculate the wait time in the current state VSM, lets say I have 100 invoices pending in the first step to process, it takes 1 minute to process one invoice, which means rest 99 are waiting, how to calculate that wait time as all of them wait differently( wait time for 50th and 100th invocie would be different) 3) Do I have to put all the detailed steps in cur
  4. Hi All, Good questions & responses by Sujeet and Pankaj. If you wish to evaluate whether download time is affected by shift, you may do the following: 1. CTQ-Download Time/Size of File---suggested by Sujeet---I also feel that it is a better CTQ 2. Compare average download time/size of file across shifts. Please treat data for different shifts as different samples (suggested by Pankaj and I completely agree). If there are 3 shifts, you should use ANOVA to compare average download time/size of file across shifts. Considering the data to be independent, steps for ANOVA are: a. Normal
  5. Dear Arvind, You can use the following functions in excel fdist(x,numerator degrees of freedom,denominator degrees of freedom) chidist(x,degress of freedom) Note: 'x' represents the calculated statistic value, in case of Fdist, it is the F stat value and for Chidist, it is the Chi-stat value. Regards, shantanu kumar
  6. Letting people put easier assignments in DMAIC format so that they atleast practice the tools soon enough.---- I agree. We can ask them to follow the roadmap however for advanced tool practice, they can attend FBB. Not insisting on validation from seniors within company and going by whatever they say.-------This may result in plagiarism and loss of reputation. This may become an easy way out. We may also like to think about Practice Project completion certificate based on a case study examination----6-8 hour examination.
  7. Hi Ravi, You can read up on Non-Parametric tests and Data Transformation. We will discuss Non-Parametric tests and Data Transformation in detail during the BB workshop. To prepare for BB, I would suggest that you revisit the GB material and Basic Statistics. I will suggest that you list down your Six Sigma queries and e-mail me. I will pick up the queries during BB workshop. Regards, shantanu kumar
  8. Dear RaviShankar, We will discuss analysis of non-normal data during the BB program. We can of course pick up your queries during the workshop. Regards, shantanu kumar
  9. Hi All, Sorry. Forgot to mention the references. Here are the references Data Analysis Using Regression and Multilevel/Hierarchical Models by Jennifer Hill, Andrew Gelman Linear least squares computations By R. W. Farebrother Applied regression analysis, linear models, and related methods By John Fox Numerical methods for least squares problems By Åke Björck Weisberg, S. 1985. Applied Linear Regression, 2nd ed. New York: John Wiley and Sons. Regards, shantanu kumar
  10. Dear All, Apologies for the late response. Shalini, Sanjay and Srinivas have provided answers to most questions. It is slightly tough to explain these concepts in a post however I am still trying. To know more about these concepts, you can attend the MBB workshop. Regards, shantanu kumar Q1: What are the assumptions in Ordinary Least Square Regression? Answer: The assumptions in Ordinary Least Square Regression are: Model is linear in parameters The data are a random sample of the population The errors are statistically independent from one another The expected value of the error
  11. Hi Shalini, Good response on Adjusted R-Sq and Predicted R-Sq. I will post answers to all questions next week. Regards, shantanu kumar
  12. Dear All, These are few frequently asked Master Black Belt interview questions on Ordinary Least Square Regression Basics. Let's get answers to these questions What does VIF signify? Are high values of VIF desirable? What does Durbin Watson statistic help us infer? What is the difference between R-sq, Adjusted R-Sq, and Predicted R-Sq? What does PRESS assess? What do we mean by unusual observations? What do Leverage values, Cook's Distance and Mahalanobis distance help us identify? What are the assumptions in Ordinary Least Square Regression? Everybody is invited to post answers to these que
  13. Why is ANOVA called Analysis of Variances when it compares means of more than two samples? Answer: To determine whether means of several groups are equal or not or whether the samples belong to the same population or not, ANOVA compares the variance of the group means(between groups), with the variance of values within the groups (within group) Mathematically in a balanced ANOVA design, a. Calculate the variance of each group and then calculate the mean of the variances - this will give you the ‘error variance' ---------(MSW) b. Calculate the arithmetic mean of each group and then cal
  14. Hi Ria, I am currently compiling frequently asked Green Belt interview questions. I will try to publish it by December'09. Regards, shantanu kumar
  15. Dear All, These are few frequently asked Black Belt interview questions on ANOVA Basics. Let's get answers to these questions. 1.ANOVA Table Why is ANOVA called Analysis of Variances when it compares means of more than two groups? What does the Sum of Squares (SS) represent? What is MS and what does it represent? How do we get F and what does it mean? How do we get the p-value? 2.Comparisons or Post Hocs Why do we use multiple comparisons? What is the difference between Tukey and Hsu's MCB? What is the difference Tukey and Fisher comparisons? Everybody is invited to post answers to these
  16. Solutions keeping Transformations and Non-Parametric Tests aside. Question 1: The groups have unequal variance; the sample sizes are significantly different. Can we carry out One-Way ANOVA? Solution: In this case, we can use Welch Statistic instead of ANOVA F-statistic. The Welch statistic is more powerful than the standard F when sample sizes and variances are unequal. Of course Brown-Forsythe statistic can be used in this situation however Welch Statistic is preferred over all other options. Question 2: The groups have unequal variance; the sample sizes are equal or almost equal. Can
  17. Dear Six Sigma Practitioners, We are aware the following underlying assumptions of One- Way ANOVA The k samples are normally distributed. The samples are independent of each other The k samples are all assumed to come from populations with the same variance Within each sample, the values are independent In an ideal world, all assumptions are met however more often than not, assumptions of normality and homoscedasity are not met. So we use various transformations to transform data to meet assumptions and then carry out the hypothesis test. If data transformation doesn't work , then we move
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