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Click for public course registration details.
Businesses are moving at warp speed—do you know how your processes compare to those of your competitors? If you want to really understand how your processes are performing, you need to conduct process analysis.
Learn how data behave and how to represent them graphically. Get started by understanding the normal distribution as a cornerstone in statistics theory, and how the application of statistical software can make process analysis more effective and efficient.
Gain a basic working knowledge of the ins and outs of MinitabTM software. Learn how to use MinitabTM to streamline data analysis and support the statistical tools that you use in order to effectively assess your organization's processes.
Course Objectives
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Learn about the normal distribution and the key statistical concepts associated with it.
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Practice the application of those key statistical concepts.
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Recognize how plotting data enhances data analysis and decision making.
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Learn how the application of statistics can have a significant impact in process improvement activities.
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Use MinitabTM in support of statistical tools.
Main Topics
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Introduction to the normal distribution
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Measures of central tendency
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The standard deviation
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Introduction to MinitabTM
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Basic commands
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Creating and interpreting time plots in MinitabTM
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Areas under the normal curve
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The z score and the z table (looking up probabilities – the p value)
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Adding and subtracting distributions
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The central limit theorem
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Confidence intervals

Who Should Attend
Managers and professionals who are engaged in analyzing process data and making sound decisions to improve the effectiveness and efficiency of their organization’s processes, as well as related quality and inspection professionals, and manufacturing, process, and production personnel. Also valuable for anyone involved in a Lean and/or Six Sigma deployment.
This course requires the use of MinitabTM statistical software; attendees are responsible for bringing laptops with MinitabTM to the class.
CEUs: 1.5
Number of Days: 2
Code: BST
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