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.


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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.