| Description |
1 online resource (ix, 308 pages) |
| Series |
Super review |
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Super review.
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| Contents |
880-01 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 |
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880-01/(S Chapter 12 General Linear Model Inferences: Correlation Theory12.1 Introduction; 12.2 Single Parameter; 12.3 Correlation; 12.4 Computational Formulas; Quiz: Statistical Inference-General Linear Model Inferences: Correlation Theory; Chapter 13 Experimental Design; 13.1 Design of an Experiment; 13.2 Completely Randomized Design; Chapter 14 Count Data: The Chi-Square Test; 14.1 Count Data; 14.2 Definition of χ2; 14.3 Contingency Tables; 14.4 Yates' Correction Factor: Some Helpful Formulas; Chapter 15 Time Series; 15.1 Time Series; 15.2 Relatives and Indices; 15.3 Analysis of Time Series |
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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 |
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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 |
| Summary |
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 and easy-to-understand format that makes learning easier. Questions and answers for each topic -- let you practice what you've learned and build your statistics skills. End-of-chapter quizzes -- gauge your understanding of the important information you need to know, so you'll be ready for any homework assignment, quiz, or test |
| Notes |
Print version record |
| Subject |
Statistics -- Outlines, syllabi, etc
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Statistics -- Problems, exercises, etc
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MATHEMATICS -- Probability & Statistics -- General.
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Statistics
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| Genre/Form |
outlines (documents)
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syllabi.
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exercise books.
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Problems and exercises
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Outlines and syllabi
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Outlines and syllabi.
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Problems and exercises.
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Résumés et programmes.
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Problèmes et exercices.
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| Form |
Electronic book
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| Author |
Research and Education Association
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| ISBN |
9780738684017 |
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0738684015 |
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