## Table of contents for Essential statistics in business and economics / David P. Doane, Lori E. Seward.

Bibliographic record and links to related information available from the Library of Congress catalog.

Note: Contents data are machine generated based on pre-publication provided by the publisher. Contents may have variations from the printed book or be incomplete or contain other coding. ```CONTENTS
CHAPTER ONE
Overview of Statistics 2
1.1 What is Statistics? 3
1.2 Why Study Statistics? 4
1.3 Uses of Statistics 5
1.4 Statistical Challenges 6
1.5 Writing and Presenting Reports 9
1.6 Statistical Pitfalls 14
1.7 Statistics: An Evolving Field 16
Chapter Summary 16
CHAPTER TWO
Data Collection 22
2.1 Definitions 23
2.2 Level of Measurement 26
2.3 Time Series versus Cross-Sectional Data 30
2.4 Sampling Concepts 31
2.5 Sampling Methods 33
2.6 Data Sources 42
2.7 Survey Research 43
Chapter Summary 49
CHAPTER THREE
Describing Data Visually 58
3.1 Visual Description 59
3.2 Dot Plots 61
3.3 Frequency Distributions and Histograms 65
3.4 Line Charts 72
3.5 Bar Charts 76
3.6 Scatter Plots 80
3.7 Tables 86
3.8 Pie Charts 87
3.9 Effective Excel Charts 90
3.10 Maps and Pictograms 94
3.11 Deceptive Graphs 95
Chapter Summary 99
CHAPTER FOUR
Descriptive Statistics 112
4.1 Numerical Description 113
4.2 Central Tendency 119
4.3 Dispersion 130
4.4 Standardized Data 136
4.5 Percentiles and Quartiles 141
4.6 Box plots 145
Chapter Summary 148
CHAPTER FIVE
Probability 160
5.1 Random Experiments 161
5.2 Probability 163
5.3 Rules of Probability 166
5.4 Independent Events 172
5.5 Contingency Tables 175
5.6 Counting Rules (Optional) 182
Chapter Summary 185
CHAPTER SIX
Discrete Distributions 192
6.1 Probability Models 193
6.2 Discrete Distributions 193
6.3 Uniform Distribution 199
6.4 Bernoulli Distribution 203
6.5 Binomial Distribution 204
6.6 Poisson Distribution 212
Chapter Summary 219
CHAPTER SEVEN
Continuous Distributions 226
7.1 Continuous Variables 227
7.2 Describing a Continuous Distribution 227
7.3 Uniform Continuous Distribution 229
7.4 Normal Distribution 232
7.5 Standard Normal Distribution 235
7.6 Normal Approximation to the Binomial
(Optional) 247
7.7 Normal Approximation to the Poisson
(Optional) 250
7.8 Exponential Distribution 251
Chapter Summary 256
CHAPTER EIGHT
Sampling Distributions and Estimation 262
8.1 Sampling Variation 263
8.2 Estimators and Sampling Distributions 265
8.3 Sample Mean and the Central Limit
Theorem 268
8.4 Confidence Interval for a Mean (?) with
Known s 276
8.5 Confidence Interval for a Mean (?) with
Unknown s 279
8.6 Confidence Interval for a Proportion (p) 287
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8.7 Sample Size Determination for a Mean 296
8.8 Sample Size Determination for a
Proportion 299
Chapter Summary 301
CHAPTER NINE
One-Sample Hypothesis Tests 310
9.1 Logic of Hypothesis Testing 311
9.2 Testing a Proportion 321
9.3 Testing a Mean: Known Population
Variance 331
9.4 Testing a Mean: Unknown Population
Variance 336
Chapter Summary 341
CHAPTER TEN
Two-Sample Hypothesis Tests 348
10.1 Two-Sample Tests 349
10.2 Comparing Two Proportions 351
10.3 Comparing Two Means: Independent
Samples 360
10.4 Comparing Two Means: Paired Samples 368
10.5 Comparing Two Variances 374
Chapter Summary 381
CHAPTER ELEVEN
Analysis of Variance 392
11.1 Overview of ANOVA 393
11.2 One-Factor ANOVA (Completely Randomized
Model) 396
11.3 Multiple Comparisons 404
11.4 Tests for Homogeneity of Variances
(Optional) 406
Chapter Summary 410
CHAPTER TWELVE
Bivariate Regression 416
12.1 Visual Displays and Correlation Analysis 417
12.2 Bivariate Regression 428
12.3 Regression Terminology 430
12.4 Ordinary Least Squares Formulas 433
12.5 Tests for Significance 439
12.6 Analysis of Variance: Overall Fit 445
12.7 Confidence and Prediction Intervals for Y 450
12.8 Violations of Assumptions 452
12.9 Unusual Observations 459
12.10 Other Regression Problems (Optional) 464
Chapter Summary 469
CHAPTER THIRTEEN
Multiple Regression 486
13.1 Multiple Regression 487
13.2 Assessing Overall Fit 492
13.3 Predictor Significance 494
13.4 Confidence Intervals for Y 497
13.5 Binary Predictors 500
13.6 Tests for Nonlinearity and Interaction 507
13.7 Multicollinearity 509
13.8 Violations of Assumptions 514
13.9 Other Regression Topics 518
Chapter Summary 520
CHAPTER FOURTEEN
Chi-Square Tests 532
14.1 Chi-Square Test for Independence 533
14.2 Chi-Square Tests for Goodness-of-Fit 543
Chapter Summary 548
APPENDIXES
A Exact Binomial Probabilities 556
B Exact Poisson Probabilities 558
C-1 Standard Normal Areas 561
C-2 Cumulative Standard Normal
Distribution 562
D Student?s t Critical Values 564
E Chi-Square Critical Values 565
F Critical Values of F 566
G Solutions to Odd-Numbered
Exercises 574
PHOTO CREDITS 589
INDEX 591
```

Library of Congress Subject Headings for this publication:

Commercial statistics.
Economics -- Statistical methods.