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Elementary Statistics : A Brief Version with MathZone,9780073107653
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Elementary Statistics : A Brief Version with MathZone

by
Edition:
3rd
ISBN13:

9780073107653

ISBN10:
0073107654
Media:
Paperback
Pub. Date:
12/30/2004
Publisher(s):
McGraw-Hill Science/Engineering/Math
List Price: $147.70
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Summary

Elementary Statistics: A Brief Version, 3rd edition is a shorter version of the popular text Elementary Statistics: A Step by Step Approach, 5th edition. This softcover edition includes all the features of the longer book, but is designed for a course in which the time available limits the number of topics covered. The book is written for general beginning statistics courses with a basic algebra prerequisite. The book use a non-theoretical approach, explaining concepts intuitively and teaching problem solving through worked examples step-by-step.

Table of Contents

Preface xiii
The Nature of Probability and Statistics
1(30)
Introduction
2(1)
Descriptive and Inferential Statistics
3(3)
Variables and Types of Data
6(2)
Data Collection and Sampling Techniques
8(4)
Random Sampling
10(1)
Systematic Sampling
10(1)
Stratified Sampling
11(1)
Cluster Sampling
11(1)
Other Sampling Methods
12(1)
Observational and Experimental Studies
12(3)
Uses and Misuses of Statistics
15(2)
Suspect Samples
15(1)
Ambiguous Averages
15(1)
Changing the Subject
16(1)
Detached Statistics
16(1)
Implied Connections
16(1)
Misleading Graphs
16(1)
Faulty Survey Questions
16(1)
Computers and Calculators
17(6)
Summary
23(8)
Frequency Distributions and Graphs
31(68)
Introduction
33(1)
Organizing Data
33(12)
Categorical Frequency Distributions
34(1)
Grouped Frequency Distributions
35(10)
Histograms, Frequency Polygons, and Ogives
45(16)
The Histogram
47(1)
The Frequency Polygon
47(2)
The Ogive
49(2)
Relative Frequency Graphs
51(3)
Distribution Shapes
54(7)
Other Types of Graphs
61(22)
Pareto Charts
61(1)
The Time Series Graph
62(2)
The Pie Graph
64(4)
Misleading Graphs
68(3)
Stem and Leaf Plots
71(12)
Paired Data and Scatter Plots
83(7)
Analyzing the Scatter Plot
84(6)
Summary
90(9)
Data Description
99(72)
Introduction
100(1)
Measures of Central Tendency
101(17)
The Mean
102(3)
The Median
105(2)
The Mode
107(2)
The Midrange
109(1)
The Weighted Mean
110(2)
Distribution Shapes
112(6)
Measures of Variation
118(17)
Range
119(1)
Population Variance and Standard Deviation
120(2)
Sample Variance and Standard Deviation
122(2)
Variance and Standard Deviation for Grouped Data
124(3)
Coefficient of Variation
127(1)
Chebyshev's Theorem
128(2)
The Empirical (Normal) Rule
130(5)
Measures of Position
135(19)
Standard Scores
135(1)
Percentiles
136(7)
Quartiles and Deciles
143(1)
Outliers
144(10)
Exploratory Data Analysis
154(8)
The Five-Number Summary and Boxplots
154(8)
Summary
162(9)
Probability and Counting Rules
171(58)
Introduction
172(1)
Sample Spaces and Probability
173(14)
Basic Concepts
173(3)
Classical Probability
176(3)
Complementary Events
179(1)
Empirical Probability
180(2)
Law of Large Numbers
182(1)
Subjective Probability
183(1)
Probability and Risk Taking
183(4)
The Addition Rules for Probability
187(10)
The Multiplication Rules and Conditional Probability
197(11)
The Multiplication Rules
197(5)
Conditional Probability
202(2)
Probabilities for ``At Least''
204(4)
Counting Rules
208(10)
The Fundamental Counting Rule
209(2)
Factorial Notation
211(1)
Permutations
211(1)
Combinations
212(6)
Probability and Counting Rules
218(4)
Summary
222(7)
Discrete Probability Distributions
229(34)
Introduction
230(1)
Probability Distributions
231(4)
Mean, Variance, Standard Deviation, and Expectation
235(10)
Mean
235(3)
Variance and Standard Deviation
238(2)
Expectation
240(5)
The Binomial Distribution
245(13)
Summary
258(5)
The Normal Distribution
263(58)
Introduction
264(2)
Properties of the Normal Distribution
266(1)
The Standard Normal Distribution
267(16)
Finding Areas Under the Standard Normal Distribution Curve
269(7)
The Normal Distribution Curve as a Probability Distribution Curve
276(7)
Applications of the Normal Distribution
283(14)
Finding Data Values Given Specific Probabilities
287(2)
Determining Normality
289(8)
The Central Limit Theorem
297(10)
Distribution of Sample Means
297(7)
Finite Population Correction Factor (Optional)
304(3)
The Normal Approximation to the Binomial Distribution
307(6)
Summary
313(8)
Confidence Intervals and Sample Size
321(40)
Introduction
322(1)
Confidence Intervals for the Mean (σ Known or n ≥ 30) and Sample Size
323(13)
Confidence Intervals
324(6)
Sample Size
330(6)
Confidence Intervals for the Mean (σ Unknown and n < 30)
336(6)
Confidence Intervals and Sample Size for Proportions
342(8)
Confidence Intervals
344(1)
Sample Size for Proportions
345(5)
Confidence Intervals for Variances and Standard Deviations
350(5)
Summary
355(6)
Hypothesis Testing
361(64)
Introduction
362(1)
Steps in Hypothesis Testing---Traditional Method
363(11)
z Test for a Mean
374(14)
p-Value Method for Hypothesis Testing
379(9)
t Test for a Mean
388(9)
z Test for a Proportion
397(7)
x2 Test for a Variance or Standard Deviation
404(12)
Confidence Intervals and Hypothesis Testing
416(2)
Summary
418(7)
Testing the Difference Between Two Means, Two Variances, and Two Proportions
425(62)
Introduction
426(1)
Testing the Difference Between Two Means: Large Samples
427(11)
Testing the Difference Between Two Variances
438(10)
Testing the Difference Between Two Means: Small Independent Samples
448(10)
Testing the Difference Between Two Means: Small Dependent Samples
458(12)
Testing the Difference Between Proportions
470(7)
Summary
477(10)
Hypothesis-Testing Summary 1
484(3)
Correlation and Regression
487(40)
Introduction
488(1)
Correlation
489(11)
Correlation Coefficient
491(1)
Correlation and Causation
492(1)
The Significance of the Correlation Coefficient
493(7)
Regression
500(13)
Line of Best Fit
500(2)
Determination of the Regression Line Equation
502(11)
Coefficient of Determination and Standard Error of the Estimate
513(7)
Types of Variation for the Regression Model
513(2)
Coefficient of Determination
515(1)
Standard Error of the Estimate
516(2)
Prediction Interval
518(2)
Summary
520(7)
Chi-Square and Analysis of Variance (ANOVA)
527(48)
Introduction
528(1)
Test for Goodness of Fit
529(12)
Test of Normality (Optional)
534(7)
Tests Using Contingency Tables
541(14)
Test for Independence
541(5)
Test for Homogeneity of Proportions
546(9)
Analysis of Variance (ANOVA)
555(12)
Summary
567(8)
Hypothesis-Testing Summary 2
574(1)
appendix A Algebra Review 575(6)
appendix B-1 Writing the Research Report 581(2)
appendix B-2 Alternate Approach to the Standard Normal Distribution 583(4)
appendix C Tables 587(18)
appendix D Data Bank 605(8)
appendix E Glossary 613(6)
appendix F Bibliography 619(2)
appendix G Photo Credits 621(2)
appendix H Selected Answers 623(34)
index 657
instructor's section Instructor's Edition Only 1


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