Super Revised Statistics: All You Need to Know

Super Revised Statistics: All You Need to Know

by Research & Education Association
     
 

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

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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

Table of Contents

Chapter 1Introduction
1.1What is Statistics?1
1.2Variables2
1.3Functions4
Chapter 2Frequency Distributions
2.1Data Description: Graphs7
2.2Class Intervals and Class Limits12
2.3Frequency Histograms and Relative Frequency Histograms16
2.4Cumulative Frequency Distributions17
2.5Types of Frequency Curves25
Chapter 3Numerical Methods of Describing Data
3.1Introduction29
3.2Notation and Definitions of Means30
3.3Measures of Central Tendency43
Quiz: Introduction - Numerical Methods of Describing Data53
Chapter 4Measures of Variability
4.1Range and Percentiles58
4.2Measures of Dispersion61
4.3Simplified Methods For Computing the Standard Deviation and Variance66
4.4Coding Methods77
Chapter 5Moments and Parameters of Distributions
5.1Moments86
5.2Coefficients of Skewness: Kurtosis92
Chapter 6Probability Theory: Basic Definitions and Theorems
6.1Classical Definition of Probability97
6.2Relative Frequency: Large Numbers100
6.3Independent and Dependent Events: Conditional Probability101
6.4The Calculus of Probability110
6.5Probability Distributions115
6.6Combinational Analysis123
6.7Set Theory and Probability132
Quiz: Measures of Variability-Probability Theory135
Chapter 7Distributions
7.1The Binomial Distribution140
7.2The Multinomial Distribution144
7.3The Normal Distribution146
7.4The Poisson Distribution152
Quiz: Distributions155
Chapter 8Sampling Theory
8.1Sampling158
8.2Sampling Distributions161
8.3The Central Limit Theorem161
8.4Sampling Distribution of Proportions167
8.5Sampling Distributions of Sums and Differences169
8.6Standard Errors174
Chapter 9Statistical Inference: Large Samples
9.1Estimation of Parameters175
9.2Point Estimation of [mu]177
9.3Interval Estimation of [mu]180
9.4Test of Hypothesis185
Quiz: Sampling Theory-Statistical Inference191
Chapter 10Statistical Inference: Small Samples
10.1Small Samples195
10.2Student's t Distribution196
10.3Tests of Hypotheses and Signficance201
10.4The Chi-Square Distribution207
10.5Control Charts210
Chapter 11Mathematical Models Relating Independent and Dependent Variables
11.1Relationships Between Variables212
11.2Probabilistic Models215
11.3The Method of Least Squares216
Chapter 12General Linear Model Inferences: Correlation Theory
12.1Introduction223
12.2Single Parameter223
12.3Correlation228
12.4Computational Formulas238
Quiz: Statistical Inference - General Linear Model Inferences: Correlation Theory254
Chapter 13Experimental Design
13.1Design of an Experiment260
13.2Completely Randomized Design270
Chapter 14Count Data: The Chi-Square Test
14.1Count Data276
14.2Definition of X[superscript 2]278
14.3Contingency Tables286
14.4Yates' Correction Factor: Some Helpful Formulas297
Chapter 15Time Series
15.1Time Series303
15.2Relatives and Indices303
15.3Analysis of Time Series308
15.4Moving Averages310
Quiz: Experimental Design - Time Series313

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