Hypothesis tests
Abstract
Hypothesis testing grew out of quality control, when it was necessary to decide to accept or reject a batch of items based on a relatively small number of tested items. Today, when quality control engineers decide what sample size to take for a reliable inference about the entire product batch or when they need to check the significance of the differences between two separate tests, or in many other cases, they use various statistical tests to obtain the technically correct solution. This chapter describes the test commands available in the hypothesis tests section of the Statistics Toolbox™ together with their applications for use in QA. A basic familiarity with statistics and probability theory is assumed.
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