• ### Hypothesis Test Notes: P-value and Significance Level

Notes on hypothesis testing and how to interpret the p-value with respect to the significance level of a hypothesis test.
• ### Understanding Significance Level in Hypothesis Testing

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.
• ### Level of Significance

Definition of significance and the steps to determining the significance level of a test.
• ### Two-Sided Testing and C.I. s; Choosing the Levels of Significance

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

Covers many topics within Hypothesis Testing, with a section dedicated to Significance level.
• ### Confidence Intervals - Level of Significance

Simple definition of the level of significance, with an explanation as to how it differs from the confidence level.
• ### Statistical Quality Control

Slideshow that describes what statistical quality control is and how it is used.
• ### Statistical Quality Control

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.
• ### Statistical Quality Control

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.
• ### Lecture on Statistical Quality Control

Video that will explain the concepts of attribute and variable data, and procedure for plotting attribute and variable quality control charts & reading different chart patterns.