SeerPharma Pty Ltd :: DISCover web-based training :: LAB 5: Basic Statistics for QC Laboratories

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LAB 5: Basic Statistics for QC Laboratories

Description: This module covers some essential and practical statistical techniques necessary for analysts working in a laboratory. Students will learn when and how to apply techniques to data presentation, analysis and interpretation.

COURSE 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

COURSE OBJECTIVES

Students completing this course should be able to:

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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