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SEMATECH e-Handbook of Statistical Methods

SEMATECH e-Handbook of Statistical Methods

Basic Statistics Descriptive Statistics "True" Mean and Confidence Interval. Probably the most often used descriptive statistic is the mean. Shape of the Distribution, Normality. More precise information can be obtained by performing one of the tests of normality to determine the probability that the sample came from a normally distributed population of observations (e.g., the so-called Kolmogorov-Smirnov test, or the Shapiro-Wilks' W test. The graph allows you to evaluate the normality of the empirical distribution because it also shows the normal curve superimposed over the histogram. Correlations Purpose (What is Correlation?) The most widely-used type of correlation coefficient is Pearson r, also called linear or product- moment correlation. Simple Linear Correlation (Pearson r). This line is called the regression line or least squares line, because it is determined such that the sum of the squared distances of all the data points from the line is the lowest possible. Significance of Correlations.

Comparison of statistical packages The following tables compare general and technical information for a number of statistical analysis packages. General information[edit] This section contains basic information about each product (developer, license, user interface etc.). Price note[1] indicates that the price was promotional (so higher prices may apply to current purchases), and note[2] indicates that lower/penetration pricing is offered to academic purchasers. (For example, give-away editions of some products are bundled with some student textbooks on statistics.) Operating system support[edit] ANOVA[edit] Support for various ANOVA methods Regression[edit] Support for various regression methods. Time series analysis[edit] Support for various time series analysis methods. Charts and diagrams[edit] Support for various statistical charts and diagrams. Other abilities[edit] See also[edit] References[edit] Reviews of statistical packages[edit]

Minitab Minitab is a statistics package developed at the Pennsylvania State University by researchers Barbara F. Ryan, Thomas A. Ryan, Jr., and Brian L. Joiner in 1972. Minitab began as a light version of OMNITAB, a statistical analysis program by NIST; the documentation for OMNITAB was published 1986, and there has been no significant development since then.[2] Minitab is distributed by Minitab Inc, a privately owned company headquartered in State College, Pennsylvania, with subsidiaries in Coventry, England (Minitab Ltd.), Paris, France (Minitab SARL) and Sydney, Australia (Minitab Pty.). Today, Minitab is often used in conjunction with the implementation of Six sigma, CMMI and other statistics-based process improvement methods. Minitab 17, the latest version of the software, is available in 8 languages: English, French, German, Japanese, Korean, Portuguese, Simplified Chinese, & Spanish. Uses of Minitab[edit] See also[edit] References[edit] "Minitab Statistical Software Features - Minitab."

List of Six Sigma software packages Wikipedia list article There are generally four classes of software used to support the Six Sigma process improvement protocol: Analysis tools, which are used to perform statistical or process analysis;Program management tools, used to manage and track a corporation's entire Six Sigma program;DMAIC and Lean online project collaboration tools for local and global teams;Data Collection tools that feed information directly into the analysis tools and significantly reduce the time spent gathering data. Analysis tools[edit] Notes[edit] ^ Statistical and graphic functions from the base installation can be used for Six Sigma projects. References[edit]

Six Sigma The common Six Sigma symbol Six Sigma is a set of techniques and tools for process improvement. It was developed by Motorola in 1986.[1][2] Jack Welch made it central to his business strategy at General Electric in 1995.[3] Today, it is used in many industrial sectors.[4] Six Sigma seeks to improve the quality of process outputs by identifying and removing the causes of defects (errors) and minimizing variability in manufacturing and business processes. It uses a set of quality management methods, mainly empirical, statistical methods, and creates a special infrastructure of people within the organization ("Champions", "Black Belts", "Green Belts", "Yellow Belts", etc.) who are experts in these methods. Each Six Sigma project carried out within an organization follows a defined sequence of steps and has quantified value targets, for example: reduce process cycle time, reduce pollution, reduce costs, increase customer satisfaction, and increase profits. Doctrine[edit] Methodologies[edit]

This is a Yoast Test Title The following questions might guide your discussion if you are interested in further leadership training based on my TEDx talk: What are your images of leaders from movies and books? What characteristics do they share? Why do we like to take control? What gets in the way of us giving control? Why is it hard for some people to resist taking responsibility? Why is it harder to think than just do what you are told? What percent of people just want to be told what to do? Have you ever been in a situation where What’s your organization’s time constant? And a longer list: (Generated from discussion with NextJump on 15 June 2012) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. 30. 31. 32. 33. 34. 35. 36. 37. 38. 39. 40. 41. 42. 43. 44. 45. 46. 47. 48. 49. 50. 51. 52. 53. 54. 55. 56. 57. 58. 59. 60. 61. 62. 63. 64. 65. 66. 67. 68. 69. 70. 71. 72. 73. 74. 75. 76. 77. 78. 79. 80.