MyLab Statistics with Pearson eText Access Code (18 Weeks) for Interactive Statistics
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MyLab Statistics with Pearson eText Access Code (18 Weeks) for Interactive Statistics: Informed Decisions Using Data

MyLab Statistics with Pearson eText Access Code (18 Weeks) for Interactive Statistics: Informed Decisions Using Data

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International Edition


About the Book

Table of Contents:
I: GETTING THE INFORMATION YOU NEED Data Collection 1.1 Introduction to the Practice of Statistics 1.2 Observational Studies versus Designed 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 II: DESCRIPTIVE STATISTICS Organizing and Summarizing Data 2.1 Organizing Qualitative Data 2.2 Organizing Quantitative Data: The Popular 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 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 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”? 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 Chapter Review Chapter Test Making an Informed Decision: Relationships Among Variables on a World Scale Case Study: Thomas Malthus, Population, and Subsistence III: PROBABILITY AND PROBABILITY DISTRIBUTIONS 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 Simulation 5.7 Putting It Together: Which Method Do I Use? Chapter Review Chapter Test Making an Informed Decision: What Are the Effects of Drinking and Driving? Case Study: The Case of the Body in the Bag Discrete Probability Distributions 6.1 Discrete Random Variables 6.2 The Binomial Probability Distribution 6.3 The Poisson Probability Distribution Chapter Review Chapter Test Making an Informed Decision: Should We Convict? Case Study: The Voyage of the St. Andrew 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: What Stock Do I Pick? Case Study: A Tale of Blood, Chemistry, and Health IV: INFERENCE – FROM SAMPLES TO POPULATION 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 Would You Break Down Your Day? Case Study: Sampling Distribution of the Median Estimating the Value of a Parameter Using Confidence Intervals 9.1 Estimating a Population Proportion 9.2 Estimating a Population Mean 9.3 Putting It Together: Which Procedure Do I Use? 9.4 Estimating with Bootstrapping Chapter Review Chapter Test Making an Informed Decision: How Much Should I Spend for this House? Case Study: When Model Requirements Fail Hypothesis Tests Regarding a Parameter 10.1 The Language of Hypothesis Testing 10.2A Hypothesis Tests on a Population Proportion with Simulation 10.2B Hypothesis Tests on a Population Proportion Using the Normal Model 10.3A Using Simulation/Bootstrapping in Hypothesis Tests for a Population Mean 10.3B Hypothesis Tests for a Population Mean 10.4 Putting It Together: Which Procedure Do I Use? Chapter Review Chapter Test Making an Informed Decision: Selecting a Mutual Fund Case Study: How Old Is Stonehenge? Inference on Two Samples 11.1A Using Randomization Techniques to Compare Two Proportions 11.1 Inference about Two Population Proportions: Independent Samples 11.2A Using Bootstrapping to Conduct Inference on Two Dependent Means 11.2 Inference about Two Population Means: Dependent Samples 11.3A Using Randomization Techniques to Compare Two Independent Means 11.3 Inference about Two Population Means: Independent Samples 11.4 Putting It Together: Which Procedure Do I Use? Chapter Review Chapter Test Making an Informed Decision: Which Car Should I Buy? Case Study: Control in the Design of Experiment Inference on Categorical Data 12.1 Goodness-of-Fit Test 12.2 Tests for Independence and the Homogeneity of Proportions 12.3 Inference about Two Population Proportions: Dependent Samples Chapter Review Chapter Test Making an Informed Decision: What Are the Benefits of College? Case Study: Feeling Lucky? Well, Are You? 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 Chapter Review Chapter Test Making an Informed Decision: Where Should I Invest? Case Study: Hat Size and Intelligence Inference of the Least-Squares Regression Model 14.1A Using Randomization Techniques on the Slope of the Least-Squares Regression Line 14.1 Testing the Significance of the Least-Squares Regression Model 14.2 Confidence and Prediction Intervals Chapter Review Chapter Test Making an Informed Decision: Buying a Home Case Study: Housing Boom APPENDICES A. Tables B. Lines C. Additional Topics C.1 The Normal Approximation to the Binomial Probability Distribution C.2 Estimating a Population Standard Deviation C.3 Hypothesis Tests for a Population Standard Deviation


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Product Details
  • ISBN-13: 9780135240090
  • Publisher: Pearson Education (US)
  • Publisher Imprint: Pearson
  • Language: English
  • Returnable: N
  • ISBN-10: 0135240093
  • Publisher Date: 19 Jun 2018
  • Binding: LB
  • No of Pages: 9998
  • Sub Title: Informed Decisions Using Data


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MyLab Statistics with Pearson eText Access Code (18 Weeks) for Interactive Statistics: Informed Decisions Using Data
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