# Super Revised Statistics: All You Need to Know

ISBN-10: 0878911979

ISBN-13: 9780878911974

Pub. Date: 06/28/2000

Publisher: Research & Education Association

Get all you need to know with Super Reviews! Each Super Review is packed with in-depth, student-friendly topic reviews that fully explain everything about the subject. The Statistics Super Review includes frequency distributions, numerical methods of describing data, measures of variability, probability, distributions, sampling theory, statistical inference,

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## Overview

Get all you need to know with Super Reviews! Each Super Review is packed with in-depth, student-friendly topic reviews that fully explain everything about the subject. The Statistics Super Review includes frequency distributions, numerical methods of describing data, measures of variability, probability, distributions, sampling theory, statistical inference, general linear model inferences, experimental design, the chi-square test, and time series. Take the Super Review quizzes to see how much you've learned - and where you need more study. Makes an excellent study aid and textbook companion. Great for self-study!

DETAILS
- From cover to cover, each in-depth topic review is easy-to-follow and easy-to-grasp - Perfect when preparing for homework, quizzes, and exams!
- Review questions after each topic that highlight and reinforce key areas and concepts
- Student-friendly language for easy reading and comprehension
- Includes quizzes that test your understanding of the subject

## Product Details

ISBN-13:
9780878911974
Publisher:
Research & Education Association
Publication date:
06/28/2000
Series:
Super Reviews; All You Need to Know Series
Pages:
336
Sales rank:
961,291
Product dimensions:
5.38(w) x 8.14(h) x 0.74(d)

## Related Subjects

 Chapter 1 Introduction 1.1 What is Statistics? 1 1.2 Variables 2 1.3 Functions 4 Chapter 2 Frequency Distributions 2.1 Data Description: Graphs 7 2.2 Class Intervals and Class Limits 12 2.3 Frequency Histograms and Relative Frequency Histograms 16 2.4 Cumulative Frequency Distributions 17 2.5 Types of Frequency Curves 25 Chapter 3 Numerical Methods of Describing Data 3.1 Introduction 29 3.2 Notation and Definitions of Means 30 3.3 Measures of Central Tendency 43 Quiz: Introduction - Numerical Methods of Describing Data 53 Chapter 4 Measures of Variability 4.1 Range and Percentiles 58 4.2 Measures of Dispersion 61 4.3 Simplified Methods For Computing the Standard Deviation and Variance 66 4.4 Coding Methods 77 Chapter 5 Moments and Parameters of Distributions 5.1 Moments 86 5.2 Coefficients of Skewness: Kurtosis 92 Chapter 6 Probability Theory: Basic Definitions and Theorems 6.1 Classical Definition of Probability 97 6.2 Relative Frequency: Large Numbers 100 6.3 Independent and Dependent Events: Conditional Probability 101 6.4 The Calculus of Probability 110 6.5 Probability Distributions 115 6.6 Combinational Analysis 123 6.7 Set Theory and Probability 132 Quiz: Measures of Variability-Probability Theory 135 Chapter 7 Distributions 7.1 The Binomial Distribution 140 7.2 The Multinomial Distribution 144 7.3 The Normal Distribution 146 7.4 The Poisson Distribution 152 Quiz: Distributions 155 Chapter 8 Sampling Theory 8.1 Sampling 158 8.2 Sampling Distributions 161 8.3 The Central Limit Theorem 161 8.4 Sampling Distribution of Proportions 167 8.5 Sampling Distributions of Sums and Differences 169 8.6 Standard Errors 174 Chapter 9 Statistical Inference: Large Samples 9.1 Estimation of Parameters 175 9.2 Point Estimation of [mu] 177 9.3 Interval Estimation of [mu] 180 9.4 Test of Hypothesis 185 Quiz: Sampling Theory-Statistical Inference 191 Chapter 10 Statistical Inference: Small Samples 10.1 Small Samples 195 10.2 Student's t Distribution 196 10.3 Tests of Hypotheses and Signficance 201 10.4 The Chi-Square Distribution 207 10.5 Control Charts 210 Chapter 11 Mathematical Models Relating Independent and Dependent Variables 11.1 Relationships Between Variables 212 11.2 Probabilistic Models 215 11.3 The Method of Least Squares 216 Chapter 12 General Linear Model Inferences: Correlation Theory 12.1 Introduction 223 12.2 Single Parameter 223 12.3 Correlation 228 12.4 Computational Formulas 238 Quiz: Statistical Inference - General Linear Model Inferences: Correlation Theory 254 Chapter 13 Experimental Design 13.1 Design of an Experiment 260 13.2 Completely Randomized Design 270 Chapter 14 Count Data: The Chi-Square Test 14.1 Count Data 276 14.2 Definition of X[superscript 2] 278 14.3 Contingency Tables 286 14.4 Yates' Correction Factor: Some Helpful Formulas 297 Chapter 15 Time Series 15.1 Time Series 303 15.2 Relatives and Indices 303 15.3 Analysis of Time Series 308 15.4 Moving Averages 310 Quiz: Experimental Design - Time Series 313

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