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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 |
|---|---|
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Piscataway, New Jersey :
Research & Education Association,
2014.
|
| Edición: | 2nd edition. |
| Colección: | Super review.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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|---|---|---|---|
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| 003 | OCoLC | ||
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| 006 | m o d | ||
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| 008 | 140123s2014 nju o 000 0 eng d | ||
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| 245 | 0 | 0 | |a Statistics super review / |c by the staff of Research & Education Association. |
| 250 | |a 2nd edition. | ||
| 264 | 1 | |a Piscataway, New Jersey : |b Research & Education Association, |c 2014. | |
| 300 | |a 1 online resource (ix, 308 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Super review | |
| 588 | 0 | |a Print version record. | |
| 520 | |a 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. | ||
| 505 | 0 | |6 880-01 |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
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| 650 | 0 | |a Statistics |v Problems, exercises, etc. | |
| 650 | 6 | |a Statistique |v Résumés, programmes, etc. | |
| 650 | 6 | |a Statistique |v Problèmes et exercices. | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a Statistics |2 fast | |
| 655 | 7 | |a outlines (documents) |2 aat | |
| 655 | 7 | |a syllabi. |2 aat | |
| 655 | 7 | |a exercise books. |2 aat | |
| 655 | 7 | |a Problems and exercises |2 fast | |
| 655 | 7 | |a Outlines and syllabi |2 fast | |
| 655 | 7 | |a Outlines and syllabi. |2 lcgft | |
| 655 | 7 | |a Problems and exercises. |2 lcgft | |
| 655 | 7 | |a Résumés et programmes. |2 rvmgf | |
| 655 | 7 | |a Problèmes et exercices. |2 rvmgf | |
| 710 | 2 | |a Research and Education Association. | |
| 758 | |i has work: |a Statistics Super Review (Text) |1 https://id.oclc.org/worldcat/entity/E39PCYVFydhkrFBGqdj8wP6GkC |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |t Statistics super review. |b 2nd edition. |d Piscataway, New Jersey : Research & Education Association, 2014 |z 9780738611242 |w (OCoLC)864039826 |
| 830 | 0 | |a Super review. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=4873649 |z Texto completo |
| 880 | 8 | |6 505-00/(S |a Chapter 9 Statistical Inference: Large Samples9.1 Estimation of Parameters; 9.2 Point Estimation of μ; 9.3 Interval Estimation of μ; 9.4 Test of Hypothesis; Quiz: Sampling Theory-Statistical Inference; Chapter 10 Statistical Inference: Small Samples; 10.1 Small Samples; 10.2 Student's t Distribution; 10.3 Tests of Hypotheses and Significance; 10.4 The Chi-Square Distribution; 10.5 Control Charts; Chapter 11 Mathematical Models Relating Independent and Dependent Variables; 11.1 Relationships Between Variables; 11.2 Probabilistic Models; 11.3 The Method of Least Squares. | |
| 880 | 8 | |6 505-01/(S |a 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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