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Home > Mathematics and Science Textbooks > Mathematics > Probability and statistics > Statistics: Informed Decisions Using Data plus NEW MyStatLab with Pearson eText -- Access Card Package
Statistics: Informed Decisions Using Data plus NEW MyStatLab with Pearson eText -- Access Card Package

Statistics: Informed Decisions Using Data plus NEW MyStatLab with Pearson eText -- Access Card Package


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About the Book

ALERT: Before you purchase, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab & Mastering products.   Packages Access codes for Pearson's MyLab & Mastering products may not be included when purchasing or renting from companies other than Pearson; check with the seller before completing your purchase.   Used or rental books If you rent or purchase a used book with an access code, the access code may have been redeemed previously and you may have to purchase a new access code.   Access codes Access codes that are purchased from sellers other than Pearson carry a higher risk of being either the wrong ISBN or a previously redeemed code. Check with the seller prior to purchase.   -- 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.  

Table of Contents:
Part I:  Getting the Information You Need Chapter 1  Data Collection 1.1   Introduction to the Practice of Statistics 1.2   Observational Studies and Experiments 1.3   Simple Random Sampling 1.4   Other Effective Sampling Methods 1.5   Bias in Sampling 1.6   The Design of Experiments Chapter Review Chapter Test Making an Informed Decision: What College Should I Attend? Case Study:  Chrysalises for Cash   Part II:  Descriptive Statistics Chapter 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 Review Chapter Test Making 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 Review Chapter Test Making 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 Review Chapter Test Making an Informed Decision: Relationships of Variables on a World Scale Case Study: Thomas Malthus, Population, and Subsistence   Part III: Probability and Probability Distributions Chapter 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 Review Chapter Test Making an Informed Decision: The Effects of Drinking and Driving Case 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 Review Chapter Test Making 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 Review Chapter Test Making an Informed Decision: Stock Picking Case Study:  A Tale of Blood, Chemistry, and Health   Part IV:  Inferences – From Samples to Population Chapter 8  Sampling Distributions    8.1 Distribution of the Sample Mean    8.2 Distribution of the Sample Proportion    Chapter Review Chapter Test Making 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 Intervals 9.1 Estimating a Population Proportion 9.2 Estimating a Population Mean 9.3 Confidence Intervals for a Population Standard Deviation 9.4 Putting It Together: Which Procedure Do I Use? 9.5 Estimating with Bootstrapping (NEW) Chapter Review Chapter Test Making 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 Review Chapter Test Making an Informed Decision: Selecting a Mutual Fund Case Study:  How Old Is Stonehenge?   Chapter 11  Inference on Two Samples    11.1 Inference about Two Proportions 11.2 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 Review Chapter Test Making 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 Review Chapter Test Making an Informed Decision: Benefits of College Case 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 Review Chapter Test Making an Informed Decision: Where Should I Invest?  Part II Case 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 Review Chapter Test Making an Informed Decision: Buying a Home Case 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 Review Chapter Test Making an Informed Decision: Where Should I Live? Case Study: Evaluating Alabama’s 1891 House Bill 504   Appendix A  Tables Appendix B  Lines  (on CD)   Answers Index  

About the Author :
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.


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Product Details
  • ISBN-13: 9780321891907
  • Publisher: Pearson Education (US)
  • Publisher Imprint: Pearson
  • Height: 282 mm
  • Spine Width: 38 mm
  • Weight: 2132 gr
  • ISBN-10: 0321891902
  • Publisher Date: 28 Nov 2012
  • Binding: SA
  • Language: English
  • Sub Title: Informed Decisions Using Data plus NEW MyStatLab with Pearson eText -- Access Card Package
  • Width: 224 mm


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