Practical Statistics for Engineers and Scientists
1. Notations and Definitions 2. Confidence Limits and Sample Size 3. Data Scatter and the Use of Control Charts 4. Analysis of Variance 5. The Correlation Coefficient and Introduction to Spectral Density Analysis 6. Linear Regression and Interactive Models 7. Experimental Design and Parameter Estimation.