Basic Statistical Analysis of Lab Data
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Basic Statistical Analysis of Lab Data Course
Introduction:
Gain a solid understanding of the essential principles of statistics as they relate to laboratory data through this course. Explore practical examples commonly encountered in analytical chemistry laboratories to enhance your learning experience.
The course includes a comprehensive printed manual that serves as a valuable resource. This manual provides in-depth explanations of key concepts, extensive examples with detailed explanations, and a variety of student exercises accompanied by answer keys.
Course Objectives:
- Gain confidence in the use of basic statistical methods
- Enhance your ability to extract more meaningful data from your data sets
- Improve your decision-making abilities
- Learn new ways to look at data
- Reduce the number of measurements required for certain applications
Who Should Attend?
Analytical laboratory managers, R&D managers, manufacturing and production managers, scientists, engineers, technicians, and others who need to understand traditional methods of data analysis. The course assumes no previous knowledge of statistics and is aimed at both beginning and experienced workers since these topics will be covered during the course.
Course Outlines:
- Introduction
- Measurement
- Accuracy And Precision
- Mean
- Standard Deviation
- Decisions
- Confidence Intervals
- Statistical Samples
- Means
- Standard Deviations
- Student’s t
- Statistical Testing
- Values And Power
- Algebra And Logic
- Hypothesis Testing
- Pooling
- Formal Statistical Tests
- One-Sample t Test
- Two-Sample t Test
- Paired t Test
- Fisher’s F Test
- One-Way ANOVA
- Outliers
- Central Limit Theorem
- Sensitivity
- Selectivity
- Limit Of Detection
- Minimum Detectable Amount
- Limit Of Quantitation