Resource Library

Text resource that covers what type I and II errors are, how to Calculate an Alpha Level for one- and two-tailed tests, and why an Alpha Level of .05 commonly used. There is also a video included at the beginning of the video to explain the topics.

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.

Notes on hypothesis testing and how to interpret the p-value with respect to the significance level of a hypothesis test.

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.

Definition of significance and the steps to determining the significance level of a test.

Powerpoint that covers statistical testing and choosing the level of significance. It also shows statistical significance vs. practical significance.

Covers many topics within Hypothesis Testing, with a section dedicated to Significance level.

Simple definition of the level of significance, with an explanation as to how it differs from the confidence level.

Slideshow that describes what statistical quality control is and how it is used.

Chapter excerpt from a book that covers the following topics: 1. Describe categories of statistical quality control (SQC). 2. Explain the use of descriptive statistics in measuring quality characteristics. 3. Identify and describe causes of variation. 4. Describe the use of control charts. 5. Identify the differences between x-bar, R-, p-, and c-charts. 6. Explain the meaning of process capability and the process capability index. 7. Explain the term Six Sigma. 8. Explain the process of acceptance sampling and describe the use of operating characteristic (OC) curves. 9. Describe the challenges inherent in measuring quality in service organizations.