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# Statistics Super Review.

Series: Super Reviews Study GuidesPublisher: Piscataway, NJ : Research & Education Association, 2013Copyright date: ©2014Edition: 2nd edDescription: 1 online resource (307 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9780738684017Genre/Form: Electronic books. Additional physical formats: Print version:: Statistics Super ReviewDDC classification: 519.5076 LOC classification: QA276.19 .S738 2014Online resources: Click to View
Contents:
Intro -- 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 Tendency -- Quiz: 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 Probability -- 6.5 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.
Chapter 9 Statistical Inference: Large Samples -- 9.1 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 -- Chapter 12 General Linear Model Inferences: Correlation Theory -- 12.1 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 -- 15.4 Moving Averages -- Quiz: Experimental Design-Time Series -- Back Cover.
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Intro -- 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 Tendency -- Quiz: 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 Probability -- 6.5 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.

Chapter 9 Statistical Inference: Large Samples -- 9.1 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 -- Chapter 12 General Linear Model Inferences: Correlation Theory -- 12.1 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 -- 15.4 Moving Averages -- Quiz: Experimental Design-Time Series -- Back Cover.

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