Statistics / Edition 10

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Drawing upon over 40 years of experience, the authors of this highly accessible book provide business professionals with a clear and methodical approach to essential statistical procedures. The ninth edition clearly explains the basic concepts and procedures of descriptive and inferential statistical analysis. It features a new emphasis on expressions involving sums of squares and degrees of freedom as well as a stronger stress on the importance of variability. This accessible approach will help business professionals tackle such perennially mystifying topics as the standard deviation, variance interpretation of the correlation coefficient, hypothesis tests, degrees of freedom, p-values, and estimates of effect size.

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Editorial Reviews

Third edition of a standard textbook. Provides a basic overview of descriptive and inferential statistics for mathematically unsophisticated students in the behavioral, social, and health sciences. Annotation c. Book News, Inc., Portland, OR (
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Product Details

  • ISBN-13: 9781118450536
  • Publisher: Wiley
  • Publication date: 11/11/2013
  • Edition description: New Edition
  • Edition number: 10
  • Pages: 576
  • Sales rank: 177,969
  • Product dimensions: 9.10 (w) x 7.40 (h) x 0.90 (d)

Table of Contents

1 Introduction 3
What Is Statistics? 4
Two Types of Data 6
Pt. I Descriptive Statistics Organizing and Summarizing Data 11
2 Describing Data with Tables 13
Frequency Distributions for Quantitative Data 14
Other Types of Frequency Distributions 22
3 Describing Data with Graphs 37
Graphs for Quantitative Data 37
A Graph for Qualitative Data 46
Misleading Graphs 47
4 Describing Data with Averages 57
Averages for Quantitative Data 58
5 Describing Variability 71
Quantitative Measures of VariabIlity 72
6 Normal Distributions (I): Basics 91
7 Normal Distributions (II): Applications 105
Finding Proportions 106
Finding Scores 112
8 More about z Scores 121
9 Describing Relationships: Correlation 129
10 Prediction 157
Pt. II Inferential Statistics Generalizing beyond Data 177
11 Populations, Samples, and Probability 179
Populations and Samples 180
Probability 188
12 Sampling Distribution of the Mean 201
13 Introduction to Hypothesis Testing 217
The z Test 218
Some Additional Considerations 230
14 More about Hypothesis Testing 243
15 Estimation 259
16 t Test for One Sample 273
17 t Test for Two Independent Samples 289
Two Population Means 290
More General Comments About Hypothesis Tests 301
18 t Test for Two Dependent Samples 315
Two Population Means 316
Population Correlation Coefficient 327
19 Analysis of Variance (One Way) 335
20 Analysis of Variance (Two Way) 363
21 Chi-Square Test for Qualitative Data 387
One-Way Chi-Square Test 388
Two-Way Chi-Square Test 395
22 Tests for Ranked Data 411
Mann-Whitney U Test (Two Independent Samples) 413
Wilcoxon T Test (Two Dependent Samples) 419
Kruskal-Wallis H Test (Three or More Independent Samples) 423
23 Postscript: Which Test? 431
Appendixes 441
Index 547
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Customer Reviews

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Sort by: Showing all of 2 Customer Reviews
  • Anonymous

    Posted September 8, 2000

    User Friendly

    Easy to read and understand chapters. Each chapter includes exercises to do right after the explanation of a concept. The answers to most exercises are included in the back of the book. Just about the best stat book that I have used.

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  • Anonymous

    Posted January 27, 2014

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