Data Analysis & Statistics
A 20-module path through data analysis & statistics, in study order from foundations to the frontier.
Modules
- The Nature of Chemical Measurement
- Accuracy and Precision
- Systematic vs Random Error
- Significant Figures and Rounding
- The Mean, Median and Mode
- Standard Deviation and Variance
- The Normal (Gaussian) Distribution
- Propagation of Uncertainty
- Reporting Analytical Results
- Pooled Standard Deviation
- Confidence Intervals
- The t Distribution and Student's t
- Hypothesis Testing Fundamentals
- Comparison of Means by t-test
- Detection of Systematic Error by t-test
- The F-Test for Comparing Variances
- Q-Test and Rejection of Outliers
- Least-Squares Regression and Calibration Curves
- Uncertainty in Calibration Results
- Limits of Detection and Quantitation