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  • Resource that covers specific topics within significance testing, including significance levels. P-values and how to determine what qualifies as being statistically significant covered. Examples are given throughout the text to further explain the concepts.
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  • Resource that covers what significance testing is and what it is used for. Describes the significance level and how it relates to the p-value with respect to hypothesis testing. A glossary of key concepts and terms is included at the end of the document.
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  • Short description of what the significance level is and what it takes for a result to be statistically significant.
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  • Covers topics of type I and II errors and significance levels. Common mistakes for these topics are given and the reasons they are incorrect are explained.
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  • Resource that explains the importance of the significance level in hypothesis testing, statistical significant results and significance levels, and type I and errors and level of significance.
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  • Definition of significance and the steps to determining the significance level of a test.
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  • Simple definition of the level of significance, with an explanation as to how it differs from the confidence level.
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  • Description of statistical quality control and control charts.
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  • Resource providing information in order to understand the purpose and function of statistical quality control, understand the differences between attributes and variables, and become familiar with basic methods of statistical process control.
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  • A brief introduction to the use of statistical quality control charts for analyzing, monitoring, and improving health care processes. After an overview of key concepts, several examples illustrate control chart use and interpretation. The article concludes with some common pitfalls to avoid and references for further exploration.
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