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The 2-day seminar begins with an examination of ISO and FDA regulations and guidelines regarding the use of statistics. Basic vocabulary and concepts are then reviewed and discussed. The flow of subsequent topics over the 2 days is as follows:
How to calculate confidence intervals (for proportions and for measurements), including a discussion of how to choose sample size
How to perform an interpret t-Tests, including consideration of "significance", "p-values", "power" and sample-size considerations
How to perform calculation of confidence/reliability for attribute data
How to perform calculation of confidence/reliability for Normally-distributed variables (measurement) data, including a discussion of how to choose sample size
How to assess Normality and how to "transform" non-normal data into Normality so that they can be used with Normal K-tables
How to calculate confidence/reliability for non-Normal data, including data with many replicates, data composed of more than one distribution, and data from studies that have been terminated early (i.e., "censored data").
How to choose which statistical analysis to use in assessing measurement equipment variation, and how to use data from such analyses to set product QC specifications
How to evaluate and use QC sampling plans; how to understand if they are worth the time and money to use vs. using confidence/reliability calculations
How to understand and implement an SPC program
How to calculate "Process Capability Indices", including a discussion of their value vs. confidence/reliability calculations.