Statistics super review /
This Super Review can be used as a supplement to your high school or college textbook, or as a handy guide for anyone who needs a fast review of the subject. Comprehensive, yet concise coverage -- review covers the material that students must know about statistics. Each topic is presented in a clear...
Clasificación: | Libro Electrónico |
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Autor Corporativo: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Piscataway, New Jersey :
Research & Education Association,
2014.
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Edición: | 2nd edition. |
Colección: | Super review.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Title Page; Copyright Page; REA's Statistics Super Review®; Available Super Review® Titles; About Research & Education Association; Acknowledgments; Contents; Chapter 1 Introduction; 1.1 What is Statistics?; 1.2 Variables; 1.3 Functions; Chapter 2 Frequency Distributions; 2.1 Data Description: Graphs; 2.2 Class Intervals and Class Limits; 2.3 Frequency Histograms and Relative Frequency Histograms; 2.4 Cumulative Frequency Distributions; 2.5 Types of Frequency Curves; Chapter 3 Numerical Methods of Describing Data; 3.1 Introduction; 3.2 Notation and Definitions of Means.
- 3.3 Measures of Central TendencyQuiz: Introduction-Numerical Methods of Describing Data; Chapter 4 Measures of Variability; 4.1 Range and Percentiles; 4.2 Measures of Dispersion; 4.3 Simplified Methods for Computing the Standard Deviation and Variance; 4.4 Coding Methods; Chapter 5 Moments and Parameters of Distributions; 5.1 Moments; 5.2 Coefficients of Skewness: Kurtosis; Chapter 6 Probability Theory: Basic Definitions and Theorems; 6.1 Classical Definition of Probability; 6.2 Relative Frequency: Large Numbers; 6.3 Independent and Dependent Events: Conditional Probability.
- 6.4 The Calculus of Probability6.5 Probability Distributions; 6.6 Combinational Analysis; 6.7 Set Theory and Probability; Quiz: Measures of Variability-Probability Theory; Chapter 7 Distributions; 7.1 The Binomial Distribution; 7.2 The Multinomial Distribution; 7.3 The Normal Distribution; 7.4 The Poisson Distribution; Quiz: Distributions; Chapter 8 Sampling Theory; 8.1 Sampling; 8.2 Sampling Distributions; 8.3 The Central Limit Theorem; 8.4 Sampling Distribution of Proportions; 8.5 Sampling Distributions of Sums and Differences; 8.6 Standard Errors.