Michael Sullivan's Statistics: Informed Decisions Using Data, Fourth Edition, connects statistical concepts to students' lives, helping them to think critically, become informed consumers, and make better decisions. Throughout the book, "Putting It Together" features help students visualize the relationships among various statistical concepts. This feature extends to the exercises, providing a consistent vision of the bigger picture of statistics. This book follows the Guidelines for Assessment and Instruction in Statistics Education (GAISE), as recommended by the American Statistical Association, and emphasizes statistical literacy, use of real data and technology, conceptual understanding, and active learning.
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Part I: Getting the Information You NeedChapter 1 Data Collection1.1 Introduction to the Practice of Statistics1.2 Observational Studies and Experiments1.3 Simple Random Sampling1.4 Other Effective Sampling Methods1.5 Bias in Sampling1.6 The Design of ExperimentsChapter ReviewChapter TestMaking an Informed Decision: What College Should I Attend? Case Study: Chrysalises for Cash Part II: Descriptive StatisticsChapter 2 Creating Tables and Drawing Pictures of Data 2.1 Organizing Qualitative Data 2.2 Organizing Quantitative Data: The Population Displays 2.3 Additional Displays of Quantitative Data 2.4 Graphical Misrepresentations of Data Chapter ReviewChapter TestMaking an Informed Decision: Tables or Graphs? Case Study: The Day the Sky Roared Chapter 3 Numerically Summarizing Data 3.1 Measures of Central Tendency 3.2 Measures of Dispersion 3.3 Measures of Central Tendency and Dispersion from Grouped Data 3.4 Measures of Position and Outliers 3.5 The Five-Number Summary and Boxplots Chapter ReviewChapter TestMaking an Informed Decision: What Car Should I Buy? Case Study: Who Was "A Mourner"? Chapter 4 Describing the Relation Between Two Variables 4.1 Scatter Diagrams and Correlation 4.2 Least-Squares Regression 4.3 Diagnostics on the Least-Squares Regression Line 4.4 Contingency Tables and Association 4.5 Nonlinear Regression: Transformations (on CD) Chapter ReviewChapter TestMaking an Informed Decision: Relationships of Variables on a World ScaleCase Study: Thomas Malthus, Population, and Subsistence Part III: Probability and Probability DistributionsChapter 5 Probability 5.1 Probability Rules 5.2 The Addition Rule and Complements 5.3 Independence and the Multiplication Rule 5.4 Conditional Probability and the General Multiplication Rule 5.5 Counting Techniques 5.6 Putting It Together: Probability 5.7 Bayes's Rule (on CD) Chapter ReviewChapter TestMaking an Informed Decision: The Effects of Drinking and DrivingCase Study: The Case of the Body in the Bag Chapter 6 Discrete Probability Distributions 6.1 Discrete Random Variables 6.2 The Binomial Probability Distribution 6.3 The Poisson Probability Distribution 6.4 The Hypergeometric Probability Distribution (on CD) Chapter ReviewChapter TestMaking an Informed Decision: Should We Convict? Case Study: The Voyage of the St. Andrew Chapter 7 The Normal Probability Distribution 7.1 Properties of the Normal Distribution 7.2 Applications of the Normal Distribution 7.3 Assessing Normality 7.4 The Normal Approximation to the Binomial Probability Distribution Chapter ReviewChapter TestMaking an Informed Decision: Stock Picking Case Study: A Tale of Blood, Chemistry, and Health Part IV: Inferences - From Samples to PopulationChapter 8 Sampling Distributions 8.1 Distribution of the Sample Mean 8.2 Distribution of the Sample Proportion Chapter ReviewChapter TestMaking an Informed Decision: How Much Time Do You Spend in a Day? Case Study: Sampling Distribution of the Median Chapter 9 Estimating the Value of a Parameter Using Confidence Intervals9.1 Estimating a Population Proportion9.2 Estimating a Population Mean 9.3 Confidence Intervals for a Population Standard Deviation9.4 Putting It Together: Which Procedure Do I Use?9.5 Estimating with Bootstrapping (NEW)Chapter ReviewChapter TestMaking an Informed Decision: How Much Should I Spend for this House?Case Study: Fire-Safe Cigarettes Chapter 10 Hypothesis Tests Regarding a Parameter 10.1 The Language of Hypothesis Testing 10.2 Hypothesis Tests for a Population Proportion 10.3 Hypothesis Tests for a Population Mean 10.4 Hypothesis Tests for a Population Standard Deviation 10.5 Putting It Together: Which Method Do I Use? 10.6 The Probability of a Type II Error and the Power of the Test Chapter ReviewChapter TestMaking an Informed Decision: Selecting a Mutual FundCase Study: How Old Is Stonehenge? Chapter 11 Inference on Two Samples 11.1 Inference about Two Proportions11.2 Inference about Two Means: Dependent Samples 11.3 Inference about Two Means: Independent Samples 11.4 Inference about Two Standard Deviations 11.5 Putting It Together: Which Method Do I Use? Chapter ReviewChapter TestMaking an Informed Decision: Which Car Should I Buy? Case Study: Control in the Design of Experiment Chapter 12 Inference on Categorical Data 12.1 Goodness of Fit Test 12.2 Tests for Independence and the Homogeneity of Proportions Chapter ReviewChapter TestMaking an Informed Decision: Benefits of CollegeCase Study: Feeling Lucky? Well, Are You? Chapter 13 Comparing Three or More Means 13.1 Comparing Three or More Means (One-Way Analysis of Variance) 13.2 Post-Hoc Tests on One-Way Analysis of Variance 13.3 The Randomized Complete Block Design 13.4 Two-Way Analysis of Variance Chapter ReviewChapter TestMaking an Informed Decision: Where Should I Invest? Part IICase Study: Hat Size and Intelligence Chapter 14 Inference of the Least-Squares Regression Model and Multiple Regression 14.1 Testing the Significance of the Least-Squares Regression Model 14.2 Confidence and Prediction Intervals 14.3 Multiple Regression Chapter ReviewChapter TestMaking an Informed Decision: Buying a HomeCase Study: Housing Boom Chapter 15 Nonparametric Statistics 15.1 An Overview of Nonparametric Statistics 15.2 Runs Test for Randomness 15.3 Inferences about Measures of Central Tendency 15.4 Inferences about the Difference between Two Medians: Dependent Samples 15.5 Inferences about the Difference between Two Medians: Independent Samples 15.6 Spearman's Rank-Correlation Test 15.7 Kruskal-Wallis Test Chapter ReviewChapter TestMaking an Informed Decision: Where Should I Live?Case Study: Evaluating Alabama's 1891 House Bill 504 Appendix A TablesAppendix B Lines (on CD) AnswersIndex
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Produktdetaljer

ISBN
9780321837738
Publisert
2012-02-28
Utgave
4. utgave
Utgiver
Vendor
Pearson
Aldersnivå
05, U
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
960

Biographical note

With training in mathematics, statistics, and economics, Mike Sullivan, III has a varied teaching background that includes 15 years of instruction in both high school and college-level mathematics. He is currently a full-time professor of mathematics and statistics at Joliet Junior College. Mike has numerous textbooks in publication in addition to his Introductory Statistics Series, which include a Developmental Math series, and a Precalculus series, which he writes with his father, Michael Sullivan. Mike has built this book in the classroom using feedback from his students. He is well aware of the challenges of students taking an introductory statistics course. His goal is for students to be more informed interpreters of data, so that they will be better decision makers and have stronger critical-thinking skills. When not in the classroom or writing, Michael enjoys spending time with his three children, Michael, Kevin, and Marissa, and playing golf.