INTRODUCTION: WHY THIS BOOK? -- IMPORTANT CONCEPTS FROM PROBABILITY THEORY -- POPULATIONS AND SAMPLES: THE MEANING OF "STATISTICS" -- DEGREES OF FREEDOM -- INTRODUCTION TO DISTRIBUTIONS AND PROBABILITY SAMPLING -- THE NORMAL DISTRIBUTION -- ALTERNATIVE WAYS TO CALCULATE STANDARD DEVIATION -- THE CENTRAL LIMIT THEOREM -- SYNTHESIS OF VARIANCE -- WHERE ARE WE AND WHERE ARE WE GOING? -- MORE AND DIFFERENT STATISTICS -- THE T-STATISTIC -- DISTRIBUTION OF MEANS -- ONE-AND TWO-TAILED TESTS -- PHILOSOPHICAL INTERLUDE -- BIASED AND UNBIASED ESTIMATORS -- THE VARIANCE OF VARIANCE -- HYPOTHESIS TESTING OF CHI-SQUARE -- MORE HYPOTHESIS TESTING -- STATISTICAL INFERENCES -- HOW TO COUNT -- AND STILL COUNTING -- CONTINGENCY TABLES -- WHAT DO YOU MEAN, RANDOM? -- THE F-STATISTIC -- PRECISION AND ACCURACY: INTRODUCTION TO ANALYSIS OF VARIANCE -- ANALYSIS OF VARIANCE AND STATISTICAL DESIGN OF EXPERIMENTS -- CROSSED AND NESTED EXPERIMENTS -- MISCELLANEOUS CONSIDERATIONS REGARDING ANALYSIS OF VARIANCE -- PITFALLS OF STATISTICS -- PITFALLS OF STATISTICS CONTINUED -- CALIBRATION IN SPECTROSCOPY -- CALIBRATION: LINEAR REGRESSION AS A STATISTICAL TECHNIQUE -- CALIBRATION: ERROR SOURCES IN CALIBRATION -- CALIBRATION: SELECTING THE CALIBRATION SAMPLES -- CALIBRATION: DEVELOPING THE CALIBRATION MODEL -- CALIBRATION: AUXILIARY STATISTICS FOR THE CALlBRATION MODEL -- THE BEGINNING.