Abstract
Control charts are important tools for ensuring quality in manufacturing. This class shows how control charts are constructed and used to monitor various types of processes. The key idea in developing these charts combines the empirical rule from Class 2 with our observation that summary measures such as the mean vary less than the original data. How much less? Today we show how variation in the average, as measured by its standard error, is related to variation in the individual values. We then determine, with the help of the normal model and the empirical rule, how to set one type of control limits.
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© 1998 Springer Science+Business Media New York
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Foster, D.P., Stine, R.A., Waterman, R.P. (1998). Standard Error. In: Basic Business Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1696-4_4
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DOI: https://doi.org/10.1007/978-1-4612-1696-4_4
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-98354-7
Online ISBN: 978-1-4612-1696-4
eBook Packages: Springer Book Archive