GLP: Basic Statistics for QC Laboratories

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Program/Course ID: GLP03 Enrollment Period: 12 months. Average Learning Time: ~. Additional Resources: Supplemental materials/activities. Credit Hours: 3 credits. Method of Training: Online, asynchronous, self-paced eLearning. Accessibility: 24/7 access to all program materials. Demonstration: Four (4) free trial courses are available. Group/Employee Training: Click here to request a quote. Final Assessment: Multiple choice; unlimited attempts. Certificate: Encrypted PDF with validation QR barcode.

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2024 UPDATE:
This program is currently unavailable for enrollment.
It may have been updated or discontinued.
Check for newer version in our catalog.

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Outline: IMPORTANT TERMS 1. Introduction 2. Important concepts PRESENTATION OF DATA 3. Introduction 4. Describe and present data 5. Graphical presentation 6. Measures of location 7. Mean, median and mode 8. Bias (accuracy) 9. Range 10. Measures of variance 11. Coefficient of variation 12. Precision, accuracy, bias 13. Review SIGNIFICANCE 14. Introduction 15. Significant figures 16. Specifications and reporting TYPES OF DATA 17. Introduction 18. Attribute and variable data 19. Converting data 20. Normal distribution 21. Using normal distribution 22. Population and sample 23. Central Limit Theorem 24. Interpreting distributions 25. Parametric tests 26. Transforming data 27. Use of binomial distribution 28. Review BASIC LABORATORY TESTS 29. Introduction 30. Selecting statistical tests 31. Hypothesis testing 32. Type I and Type II errors 33. Statistical significance 34. Assessing assay variances 35. F test 36. Single-sample t test I 37. Unpaired two-sample t test I 38. Paired two-sample t test 39. Examples 40. Confidence intervals 41. Selecting a sample size 42. Review OUTLIERS TEST 43. Introduction 44. The outliers test 45. Using outliers test 46. Review SUMMARY 47. Summary		Objectives: Present data and results in an effective and efficient manner. Apply significance and rounding rules to summary data. Describe, and provide examples of, different types of laboratory data. Use the 't' test and the 'F' test to evaluate hypotheses. Use an outliers test to evaluate data sets. Apply basic process capability to sequential data.

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Comments: For quotes or invoices please provide the course(s) and number of students.	GLP: Basic Statistics for QC Laboratories