Super Revised Statistics: All You Need to Know

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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!

- 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

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Product Details

  • ISBN-13: 9780878911974
  • Publisher: Research & Education Association
  • Publication date: 6/28/2000
  • Series: Super Reviews; All You Need to Know Series
  • Pages: 336
  • Sales rank: 792,367
  • Product dimensions: 5.38 (w) x 8.14 (h) x 0.74 (d)

Read an Excerpt

What This Book Will Do For You...

REA's SUPER REVIEWS provides all you need to know to excel in class and succeed on midterms, finals, and even pop quizzes.

Think of this book as giving you access to your own private tutor. Here, right at your fingertips, is a brisk review to help you not only understand your textbook but also pick up where even some of the best lectures leave off.

Outstanding features include...
- Comprehensive yet concise coverage
- Targeted preparation for subject tests
- Easy-to-follow & format that helps you master the subject matter
- End-of-chapter quizzes that provide pretest tune-up

We think you'll agree that, whether you're prepping for your next test or want to be a stronger contributor in class, REA's truly provides all you need to know!

Larry B. Kling Super Review Program Director

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Table of Contents

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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