Interactive Statistics

ISBN-10: 0131497561

ISBN-13: 9780131497566

Edition: 3rd 2006 (Revised)

Authors: Martha Aliaga, Brenda Gunderson

List price: $163.20
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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.nbsp;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.
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Book details

List price: $163.20
Edition: 3rd
Copyright year: 2006
Publisher: Prentice Hall PTR
Publication date: 6/10/2005
Binding: Paperback
Pages: 1088
Size: 9.75" wide x 10.50" long x 1.50" tall
Weight: 6.248
Language: English

How to Make a Decision with Statistics
Introduction--Statistics and the Scientific Method
Decisions, Decisions
The Language of Statistical Decision Making
What's in the Bag?
Significant versus Important
Producing Data
Why Sample?
The Language of Sampling
Good Data?
Simple Random Sampling
Stratified Random Sampling
Systematic Sampling
Cluster Sampling
Multistage Sampling
Observational Studies and Experiments
Why Study Studies?
The Language of Studies
Understanding Observational Studies
Understanding Experiments
Reading with a Critical Eye
What about Ethics?
Summarizing Data Graphically
What Are We Summarizing?
Displaying Distributions--Qualitative Variables
Displaying Distributions--Quantitative Variables
Guidelines for Plots, Graphs, and Pictures
Summarizing Data Numerically
Measuring Center
Measuring Variation or Spread
Linear Transformations and Standardization
Using Models to Make Decisions
Why Do We Need to Know Models?
Modeling Continuous Variables
Modeling Discrete Variables
Is There a Relationship?
Two Quantitative Variables
When Scatterplots Don't Work: Two Qualitative Variables
How to Measure Uncertainty with Probability
What Is Probability?
Simulating Probabilities
The Language of Probability
Random Variables
Sampling Distributions: Measuring the Accuracy of Sample Results
Sampling Distribution of a Sample Proportion
Bias and Variability
Sampling Distribution of a Sample Mean
Making Decisions with Confidence
Making Decisions about a Population Proportion
Making Decisions about a Population Mean
Confidence Interval Estimation: For a Proportion
Confidence Interval Estimation: For a Mean
Confidence Intervals and Hypothesis Testing
Comparing Two Treatments
Paired Samples versus Independent Samples
Paired Samples
Independent Samples: Comparing Means
Independent Samples: Comparing Proportions
Comparing Many Treatments
Analysis of Variance
The F-Test Statistic and the F-distribution
ANOVA: Letting the Computer Do the Work!
How Do We Get the Mean Squares?
What Does Reject H[subscript 0] in ANOVA Mean? (And What Doesn't It Mean?)
Analysis of Count Data
The Chi-Square Statistic
Test of Goodness of Fit
Test of Homogeneity
Test of Independence
Answers to Odd-Numbered Exercises
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