Interactive Statistics

This volume takes a hands-on approach to the introduction of basic statistical methods, using a highly interactive method. Readers are taught to ask "why" and think like a statistician to find the logical solution. With its strong emphasis on data analysis, the book gives readers the skills to understand and interpret a variety of statistical results. Provides an overview of the basic components of decision-making and using statistical ideas. Helps readers master the language of statistics, the importance of a p-value, and the meaning of statistical significance. Includes coverage of current topics such as power of the test and effect size, bootstrap, and blocking designs in experiments. Usesexamples frombusiness, sports, economics, and more to address a wide range of interests. Includes chapter-ending TI Quick Steps for using calculators to enter, manipulate, and plot data.For anyone interested in learning more about statistics.

Preface	p. VII
How to Make a Decision with Statistics	p. 1
Introduction--Statistics and the Scientific Method	p. 1
Decisions, Decisions	p. 2
The Language of Statistical Decision Making	p. 3
What's in the Bag?	p. 12
Significant versus Important	p. 36
Producing Data	p. 59
Introduction	p. 59
Why Sample?	p. 60
The Language of Sampling	p. 60
Good Data?	p. 63
Simple Random Sampling	p. 68
Stratified Random Sampling	p. 75
Systematic Sampling	p. 81
Cluster Sampling	p. 85
Multistage Sampling	p. 89
Observational Studies and Experiments	p. 105
Introduction	p. 105
Why Study Studies?	p. 105
The Language of Studies	p. 106
Understanding Observational Studies	p. 113
Understanding Experiments	p. 118
Reading with a Critical Eye	p. 130
What about Ethics?	p. 134
Summarizing Data Graphically	p. 147
Introduction	p. 147
What Are We Summarizing?	p. 148
Displaying Distributions--Qualitative Variables	p. 157
Displaying Distributions--Quantitative Variables	p. 163
Guidelines for Plots, Graphs, and Pictures	p. 181
Summarizing Data Numerically	p. 193
Introduction	p. 193
Measuring Center	p. 194
Measuring Variation or Spread	p. 203
Linear Transformations and Standardization	p. 220
Using Models to Make Decisions	p. 235
Introduction	p. 235
Why Do We Need to Know Models?	p. 236
Modeling Continuous Variables	p. 237
Modeling Discrete Variables	p. 257
Is There a Relationship?	p. 277
Introduction	p. 277
Two Quantitative Variables	p. 278
When Scatterplots Don't Work: Two Qualitative Variables	p. 322
How to Measure Uncertainty with Probability	p. 349
Introduction	p. 349
What Is Probability?	p. 350
Simulating Probabilities	p. 351
The Language of Probability	p. 358
Random Variables	p. 383
Sampling Distributions: Measuring the Accuracy of Sample Results	p. 415
Introduction	p. 415
Sampling Distribution of a Sample Proportion	p. 416
Bias and Variability	p. 422
Sampling Distribution of a Sample Mean	p. 438
Making Decisions with Confidence	p. 455
Introduction	p. 455
Making Decisions about a Population Proportion	p. 456
Making Decisions about a Population Mean	p. 470
Confidence Interval Estimation: For a Proportion	p. 488
Confidence Interval Estimation: For a Mean	p. 499
Confidence Intervals and Hypothesis Testing	p. 507
Comparing Two Treatments	p. 527
Introduction	p. 527
Paired Samples versus Independent Samples	p. 529
Paired Samples	p. 534
Independent Samples: Comparing Means	p. 543
Independent Samples: Comparing Proportions	p. 559
Comparing Many Treatments	p. 577
Introduction	p. 577
Analysis of Variance	p. 580
The F-Test Statistic and the F-distribution	p. 585
ANOVA: Letting the Computer Do the Work!	p. 590
How Do We Get the Mean Squares?	p. 593
What Does Reject H[subscript 0] in ANOVA Mean? (And What Doesn't It Mean?)	p. 600
Analysis of Count Data	p. 613
Introduction	p. 613
The Chi-Square Statistic	p. 614
Test of Goodness of Fit	p. 617
Test of Homogeneity	p. 625
Test of Independence	p. 634
Appendix	p. 653
Answers to Odd-Numbered Exercises	p. 663
Index	p. 674
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Interactive Statistics

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