Relationships between inputs and outputs Basic statistical analysis methods, tools, and control charts used to determine key.DMAIC (Define, Measure, Analyze, Improve, and Control) to solve issues and transition.Lean concepts and its applications, such as 5s, waste reduction, value stream mapping,.Continuous process improvement (CPI) with emphasis on both lean and six sigma concepts.Several case studies and applications of lean six sigma concepts will be presented Region, Fail to Reject, Type 1 error and Type 2 error, Power and Sample Size, P-value Green Belt: Twelve 90-minute lectures Session 4 - Advanced Statistics: Compare Means, Compare Variances, Compare Proportions, Rejection Tables, Confidence Intervals for Mean, Confidence Interval for Proportions, Confidence Session 3 - Basic Statistics: Random Distribution, Variables Types, T test, Z test, Statistical Session 2 - Basic Statistics: Measures of Location, Measures of Variability, Data Visualization,Ĭoefficient of Variation, Dot Plot, Histogram, Stem And Leaf, Box Plot To Statistics, Sampling Process, Introduction to Minitab Session 1 - Course Introduction, Course Outline, Fundamental of Problem Solving, Introduction Statistics Refresher: Four 90-minute lecturesįor those who do not have prerequisite coursework in statistics Headset with microphone may be useful but not necessary.Minitab is available for free for all Binghamton students A trial version (free for 30 days) of the Minitab software (for statistical analysis) at the start of the training program.Computer with a high-speed internet connection and audio. Binghamton students: Some examples of courses that fulfill this prerequisite include.Without this background are strongly encouraged to consider the statistics refresher. Knowledge/experience/education in probability & statistics is required.Members of industry, non-profit and government agencies.Current Binghamton and non-Binghamton students.A Micro-credential in the form of a Lean Six Sigma Green Belt digital badge and Greenīelt Certificate will be provided to those who successfully complete the course.Allot 30-40 hours for completing the exam.An open-book take-home exam will be distributed by the end of the first week of the.Support via access to virtual office hours and email contacts to the professor and.A take-home examination with a 70-percent minimum passing grade within 4 weeks of.(A prerequisite statistics day of instruction which is comprised of four additionĩ0-minute pre-recorded lectures is available to those without experience with probability, statistics and/or Twelve 90-minute pre-recorded lectures and includes soft copies of presentation slides.Pre-requisite statistics instruction also offered. This course is offered by the Systems Science and Industrial Engineering (SSIE) DepartmentĪt Binghamton University. For Green Belt + Statistics refresher (GB + Stats) the deadline is November 29 at.For Green Belt course only the registration deadline is December 13 end of the day.Training is a pre-requisite for the Black Belt certification. Well as non-engineers, professionals, faculty and students and is appropriate forīoth technical and non-technical audiences. This course is intended for all engineers as Students without this background are strongly encouraged Who can take this course: This course has no prerequisites allthough knowledge/experience/education in probability Is required to pass the course an earn the certification and badge. A Binghamton University issued course completionĬertificate is also available for successful participants. Six sigma Green Belt badge will be issued. The statistics course materials 2 weeks before the Green Belt course starts.Ĭredentials: At successful completion you will earn the Green Belt Certification and the Lean Is available and those who register for the Statistics refresher will get access to For more background on LSS click hereĭelivery format: This is an online, self-paced course with twelve, 90 minute video lectures and anĮxtensive take home exam (takes about 30-40 hours to complete). This training enables participants toĪnalyze and solve quality related issues and teaches how to achieve process excellence Within the context of the DMAIC methodology. The Green Belt course will provide a deeper understanding of Lean and Six Sigma tools Lean Six Sigma Green Belt (self-paced, online)
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