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9780132532617

Elementary Statistics, Revised

by ; ; ;
  • ISBN13:

    9780132532617

  • ISBN10:

    0132532611

  • Edition: 5th
  • Format: Paperback
  • Copyright: 1991-12-20
  • Publisher: Pearson

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Supplemental Materials

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Summary

This application-oriented guide hands you simple-to-use mathematical techniques for determining various statistics in psychology and the behavioral sciences. Progressing from basic descriptive statistics to inferential paramedic statistics, the handbook includes graphic presentations including stem and leaf displays ... step-by-step procedures for performing computations ... advice for selecting the appropriate statistical test for specific studies ... coverage of various statistical computer programs ... and more. Intended for professionals with little or no knowledge of statistics.

Table of Contents

Preface vii
Statistics: What It's About
1(15)
Populations and Samples
4(1)
Types of Samples
5(3)
Parameters and Statistics
8(1)
Types of Data
9(3)
Calculators, Computers, and Statistical Analyses
12(1)
Definitions of Terms
13(1)
Problems
14(2)
Frequency Distributions
16(14)
Simple Frequency Distributions
17(1)
Grouped Frequency Distributions
18(4)
Stem and Leaf Display
22(3)
Step-by-Step Procedures
25(2)
Definitions of Terms and Symbols
27(1)
Problems
27(3)
Graphic Representations
30(19)
Graphic Representations of Frequency Distributions
31(4)
General Procedures in Constructing Histograms and Frequency Polygons
35(1)
Form of a Frequency Distribution
36(5)
Graphic Representations of Other Types of Data
41(4)
Definitions of Terms and Symbols
45(1)
Problems
46(3)
Measures of Central Tendency
49(18)
Arithmetic Mean
50(8)
Mode
58(1)
Median
58(2)
Comparison of Mean, Median, and Mode
60(3)
Step-by-Step Procedures
63(2)
Definitions of Terms and Symbols
65(1)
Problems
66(1)
Variability
67(30)
The Need for an Index of Variability
68(1)
Range (R)
69(1)
Semi-Interquartile Range
69(1)
Average Deviation
70(2)
Standard Deviation and Variance
72(4)
Computational Techniques
76(11)
A Check on Calculational Errors: Standard Deviation and the Range
87(1)
Step-by-Step Procedures
88(6)
Definitions of Terms and Symbols
94(1)
Problems
95(2)
Probability
97(19)
Sets on Probabilities
99(2)
Some Principles of Probability
101(6)
Permutations and Combinations
107(2)
Step-by-Step Procedures
109(3)
Definitions of Terms and Symbols
112(1)
Problems
113(3)
The Binomial and the Normal Distributions
116(21)
The Binomial Distribution
117(5)
The Normal Probability Distribution
122(9)
Step-by-Step Procedures
131(4)
Definitions of Terms and Symbols
135(1)
Problems
135(2)
Sampling Distributions: Single Samples
137(28)
Sampling Distribution of Means
138(1)
Means of Successive Random Samples
138(5)
Testing Hypotheses About μ: Large Samples
143(6)
Testing Hypotheses About μ: Small Samples
149(3)
Confidence Intervals
152(3)
Testing Hypotheses About Population Proportions
155(2)
Review of Hypothesis Testing
157(1)
Step-by-Step Procedures
158(3)
Definitions of Terms and Symbols
161(1)
Problems
162(3)
Sampling Distributions: Independent Samples from Two Populations
165(29)
Anatomy of an Experiment
166(2)
Sampling Distribution of the Difference Between Means
168(3)
Testing a Hypothesis About μ1 - μ2:t Ratio
171(3)
Another Look at the t0Ratio
174(2)
The t Ratio and Small Samples
176(3)
Choice of Significance Level
179(2)
Power of a Statistical Test
181(4)
Power and Estimated Effect Size
185(1)
Step-by-Step Procedures
186(4)
Definitions of Terms and Symbols
190(1)
Problems
191(3)
Correlation
194(34)
Correlational Method Versus Experimental Method
195(4)
The Pearson Product-Moment Correlation Coefficient (r)
199(7)
Use of r in Prediction
206(11)
The Rank-Order Correlation Coefficient (rs)
217(3)
Step-by-Step Procedures
220(4)
Definitions of Terms and Symbols
224(1)
Problems
225(3)
Sampling Distributions: Matched Pairs
228(13)
Types of Matched Pairs
229(1)
Advantage of Matched Pairs
230(1)
The t Test with Matched Samples
231(5)
Step-by-Step Procedures
236(3)
Definitions of Terms and Symbols
239(1)
Problems
239(2)
One-Way Analysis of Variance
241(30)
The Purpose of Analysis of Variance
242(2)
The Principles of One-Way Analysis of Variance
244(3)
The Concept of Sums of Squares
247(8)
The Concept of Variance or Mean Square
255(2)
The F Ratio
257(3)
Effect Size
260(1)
A Multiple-Comparison Test Following Analysis of Variance
261(2)
Step-by-Step Procedures
263(5)
Definitions of Terms and Symbols
268(1)
Problem
269(2)
Two-Way Analysis of Variance
271(24)
Main Effects and Interaction in Analysis of Variance
273(5)
Computational Steps in Two-Way Analysis of Variance for Equal N's
278(8)
Step-by-Step Procedures
286(7)
Problems
293(2)
Chi Square
295(17)
Chi Square Applied to a Single Sample
296(3)
Restrictions on the Use of X2
299(1)
Testing Significance of Difference in Proportions by X2
300(6)
Step-by-Step Procedures
306(3)
Definitions of Terms and Symbols
309(1)
Problems
310(2)
Nonparametric Tests
312(15)
Nonparametric Versus Parametric Tests
313(1)
Some Nonparametric Tests
314(9)
Relative Efficiency of Parametric and Nonparametric Tests
323(1)
Definitions of Terms and Symbols
324(1)
Problems
325(2)
Determination of the Appropriate Statistical Test
327(12)
Summary of Statistics of Inference
328(4)
Decision Tree
332(1)
Step-by-Step Procedures
332(6)
Problems
338(1)
Appendix I: The Use of Computers in Statistical Analysis 339(6)
Appendix II: List of Formulas 345(8)
Appendix III: Tables 353(13)
Appendix IV: Answers to Chapter Problems 366(24)
Index 390

Supplemental Materials

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