MyLab Statistics with Pearson eText Instant Access for Interactive Statistics: Informed Decisions Using Data, Global Edition
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MyLab Statistics with Pearson eText Instant Access for Interactive Statistics: Informed Decisions Using Data, Global Edition

MyLab Statistics with Pearson eText Instant Access for Interactive Statistics: Informed Decisions Using Data, Global Edition


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About the Book

Table of Contents:
1: 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 1 Review Chapter 1 Practice Test Chapter 1 Projects 2: Organizing and Summarizing Data Preparing for Section 2.1: Organizing Qualitative Data 2.1 Organizing Qualitative Data Preparing for Section 2.2: Organizing Quantitative Data: The Popular Displays 2.2 Organizing Quantitative Data: The Popular Displays 2.3 Additional Displays of Quantitative Data 2.4 Graphical Misrepresentations of Data Chapter 2 Review Chapter 2 Practice Test Chapter 2 Projects 3: Numerically Summarizing Data Preparing for Section 3.1: Measures of Central Tendency 3.1 Measures of Central Tendency 3.2 Measures of Dispersion Preparing for Section 3.3: Measures of Central Tendency and Dispersion from Grouped Data 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 3 Review Chapter 3 Practice Test Chapter 3 Projects 4: Describing the Relation between Two Variables Preparing for Section 4.1: Scatter Diagrams and Correlation 4.1 Scatter Diagrams and Correlation Preparing for Section 4.2: Least-Squares Regression 4.2 Least-Squares Regression Preparing for Section 4.3: Diagnostics on the Least-Squares Regression Line 4.3 Diagnostics on the Least-Squares Regression Line Preparing for Section 4.4: Contingency Tables and Association 4.4 Contingency Tables and Association Chapter 4 Review Chapter 4 Practice Test Chapter 4 Projects 5: Probability Preparing for Section 5.1: Probability Rules 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 5 Review Chapter 5 Practice Test Chapter 5 Projects 6: Discrete Probability Distributions Preparing for Section 6.1: Discrete Random Variables 6.1 Discrete Random Variables Preparing for Section 6.2: The Binomial Probability Distribution 6.2 The Binomial Probability Distribution 6.3 The Poisson Probability Distribution Chapter 6 Review Chapter 6 Practice Test Chapter 6 Projects 7: The Normal Probability Distribution Preparing for Section 7.1: Properties of the Normal Distribution 7.1 Properties of the Normal Distribution Preparing for Section 7.2: Applications of the Normal Distribution 7.2 Applications of the Normal Distribution Preparing for Section 7.3: Assessing Normality 7.3 Assessing Normality Preparing for Section 7.4: The Normal Approximation to the Binomial Probability Distribution 7.4 The Normal Approximation to the Binomial Probability Distribution Chapter 7 Review Chapter 7 Practice Test Chapter 7 Projects 8: Sampling Distributions Preparing for Section 8.1: Distribution of the Sample Mean 8.1 Distribution of the Sample Mean Preparing for Section 8.2: Distribution of the Sample Proportion 8.2 Distribution of the Sample Proportion Chapter 8 Review Chapter 8 Practice Test Chapter 8 Projects 9: Estimating the Value of a Parameter Preparing for Section 9.1: Estimating a Population Proportion 9.1 Estimating a Population Proportion Preparing for Section 9.2: Estimating a Population Mean 9.2 Estimating a Population Mean 9.3 Putting It Together: Which Procedure Do I Use? 9.4 Estimating with Bootstrapping Chapter 9 Review Chapter 9 Practice Test Chapter 9 Projects 10: Hypothesis Tests Regarding a Parameter Preparing for Section 10.1: Estimating a Population Mean 10.1 The Language of Hypothesis Testing Preparing for Section 10.2 Hypothesis Tests for a Population Proportion 10.2 Hypothesis Tests for a Population Proportion Preparing for Section 10.3 Hypothesis Tests for a Population Mean 10.3 Hypothesis Tests for a Population Mean Preparing for Section 10.3A Hypothesis Tests on a Population Mean Using Simulation and the Bootstrap 10.3A Hypothesis Tests on a Population Mean Using Simulation and the Bootstrap Chapter 10 Review Chapter 10 Practice Test Chapter 10 Projects 11: Inference on Two Samples Preparing for Section 11.1: Inference about Two Population Proportions 11.1 Inference about Two Population Proportions: Independent Samples 11.1A Using Randomization Techniques to Compare Two Proportions Preparing for Section 11.2: Inference about Two Population Means: Dependent Samples 11.2 Inference about Two Population Means: Dependent Samples Preparing for Section 11.2A: Using Bootstrapping to Conduct Inference on Two Dependent Means 11.2A Using Bootstrapping to Conduct Inference on Two Dependent Means Preparing for Section 11.3: Inference about Two Population Means: Independent Samples 11.3 Inference about Two Population Means: Independent Samples 11.3A Using Randomization Techniques to Compare Two Independent Means 11.4 Putting It Together: Which Procedure Do I Use? Chapter 11 Review Chapter 11 Practice Test Chapter 11 Projects 12: Inference on Categorical Data Preparing for Section 12.1: Goodness-of-Fit Test 12.1 Goodness-of-Fit Test Preparing for Section 12.2: Tests for Independence and the Homogeneity of Proportions 12.2 Tests for Independence and the Homogeneity of Proportions Preparing for Section 12.3: Inference about Two Population Proportions: Dependent Samples 12.3 Inference about Two Population Proportions: Dependent Samples Chapter 12 Review Chapter 12 Practice Test Chapter 12 Projects 13: Comparing Three or More Means Preparing for Section 13.1: Comparing Three or More Means: One-Way Analysis of Variance 13.1 Comparing Three or More Means: One-Way Analysis of Variance Preparing for Section 13.2: Post Hoc Tests on One-Way Analysis of Variance 13.2 Post Hoc Tests on One-Way Analysis of Variance Chapter 13 Review Chapter 13 Practice Test Chapter 13 Projects 14: Inference on the Least-Squares Regression Model and Multiple Regression Preparing for Section 14.1: Testing the Significance of the Least-Squares Regression Model 14.1 Testing the Significance of the Least-Squares Regression Model 14.1A Using Randomization Techniques on the Slope of the Least-Squares Regression Line Preparing for Section 14.2: Confidence and Prediction Intervals 14.2 Confidence and Prediction Intervals Preparing for Section 14.3: Introduction to Multiple Regression Chapter 14 Review Chapter 14 Practice Test Chapter 14 Projects Appendix

About the Author :
About our authors Michael Sullivan III is a professor of mathematics at Joliet Junior College. He holds graduate degrees from DePaul University in both mathematics and economics. Mike is an author or co-author on more than 20 books, including a precalculus series and a developmental mathematics series. Mike is the father of 3 children and an avid golfer, who tries to spend as much of his limited free time as possible on the golf course.  George Woodbury earned a bachelor's degree in Mathematics from the University of California - Santa Barbara and a master's degree in Mathematics from California State University - Northridge. He currently teaches at College of the Sequoias in Visalia, CA, just outside of Fresno. George has been honored as an instructor by both his students and his colleagues. Aside from teaching and writing, George served as the department chair of the math/engineering division from 1999 through 2004. He has been a user of MyLab Math and MyLab Statistics since inception, continually coming up with creative ways to integrate his teaching methods with technology. He actively blogs his thoughts on math, statistics, teaching and study skills. 


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Product Details
  • ISBN-13: 9781292483603
  • Publisher: Pearson Education Limited
  • Publisher Imprint: Pearson Education Limited
  • Language: English
  • ISBN-10: 1292483601
  • Publisher Date: 07 Apr 2025
  • Binding: Digital online


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