Fundamentals of statistics /
Fundamentals of Statistics covers topics on the introduction, fundamentals, and science of statistics.
Clasificación: | Libro Electrónico |
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Autor principal: | |
Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
London :
English Language Book Society and Butterworths,
1975.
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Edición: | ELBS edition. |
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; Fundamentals of Statistics; Copyright Page; PREFACE; Table of Contents; CHAPTER 1. INTRODUCTION; CHAPTER 2. THE COLLECTION, ORGANIZATION AND REPRESENTATION OF NUMERICAL DATA; 2.1. The Collection of Data; 2.2. The Classification of Data; 2.3. Graphical Representation of Data; 2.4. Random Sampling; 2.5. Random Numbers; 2.6. How to Use Random Sampling Numbers; EXERCISES 2; CHAPTER 3. ELEMENTARY PROBABILITY; 3.1. Introduction; 3.2. Mutually Exclusive Events; 3.3. Independent Events; 3.4. Introduction to Permutations and Combinations; 3.5. Probability Distributions.
- 3.6. Mathematical Expectation and Arithmetic MeanCHAPTER 4. THE BINOMIAL AND POISSON DISTRIBUTIONS; 4.1. The Binomial Distribution; 4.2. The Mean of the Binomial Distribution; 4.3. The Poisson Distribution; 4.4. The Mean of the Poisson Distribution; 4.5. The Additive Property of the Poisson Distribution; CHAPTER 5. MEASURES OF CENTRAL TENDENCY; 5.1. Introduction; 5.2. The Mean; 5.3. The Median; 5.4. The Mode; 5.5. The Geometric Mean; CHAPTER 6. MEASURES OF DISPERSION; 6.1. Introduction; 6.2. The Range; 6.3. The Mean Deviation; 6.4. The Variance; 6.5. The Coefficient of Variation.
- CHAPTER 7. CONTINUOUS DISTRIBUTIONS7.1. Introduction; 7.2. The Modal and Median Values; 7.3. Mathematical Expectation, the Mean and the Variance; 7.4. The Mean Deviation about the Mean; 7.5. The Rectangular Distribution; CHAPTER 8. THE NORMAL DISTRIBUTION; 8.1. Introduction; 8.2. Properties of the Normal (or Gaussian) Distribution; 8.3. Use of Normal Tables; 8.4. Practical Problems; 8.5. The Use of the Standardized Variate to Compare the Relative Merits of Variates from Different Normal Distributions; 8.6. Arithmetical Probability Graph Paper.
- 8.7. The Normal Approximation to the Binomial Distribution8.8. The Normal Approximation to the Poisson Distribution; CHAPTER 9. SIGNIFICANCE TESTING AND CONFIDENCE INTERVALS; 9.1. Introduction; 9.2. Tests of a Sample Mean; 9.3. Difference of Two Population Means; 9.4. Test for Paired Data; 9.5. Test for a Population Mean given a Large Sampl (Population Variance Unknown); 9.6. Tests for the Difference Between Two Population Means given Two Large Samples (Population Variances Unknown); 9.7. Tests for Population Means given Small Samples (Population Variances Unknown).
- 9.8. Tests for the Difference Between Two Population Means given Two Small Samples (Population Variances Unknown)9.9. An Approximate Method for Testing if Two Samples Come from Populations with Equal Means (Sample Sizes Small and Equal); 9.10. Test for Paired Data given Small Samples (Population Variances Unknown); 9.11. Comparison of More Than Two Means; 9.12. Confidence Limits; CHAPTER 10. QUALITY CONTROL; 10.1. Introduction; 10.2. Control Charts for Sample Means; 10.3. Control Charts for Ranges; 10.4. Control Charts for Fraction Defective.