Interactive Statistics: Informed Decisions Using Data Student Access Kit, 2nd edition
Published by Pearson (January 1st 2018) - Copyright © 2019
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Go INTERACTIVE with Sullivan/Woodbury’s Interactive Statistics
Interactive Statistics: Informed Decisions Using Data presents content in a way that gets students actively doing statistics as they learn new concepts. Written entirely in MyLab™ Statistics, Interactive Statistics engages students by combining text, multimedia, and assessment into one seamless learning experience: Interactive Assignments. Through a series of Interactive Assignments, students are encouraged to experience statistics in new and dynamic ways.
Authors Mike Sullivan and George Woodbury are both active in the classroom, and they incorporate ideas and strategies from their experience teaching today’s students. Their practical approach paired with the interactive, guided learning environment helps improve students’ conceptual understanding, knowledge retention, and ability to see how statistics is connected to the world at large.
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0134673522 / 9780134673523 Interactive Statistics: Informed Decisions Using Data Student Access Kit, 2/e
Table of contents
I: GETTING THE INFORMATION YOU NEED
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
Making an Informed Decision: What College Should I Attend?
Case Study: Chrysalises for Cash
II: DESCRIPTIVE STATISTICS
2. 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
Making an Informed Decision: Tables or Graphs?
Case Study: The Day the Sky Roared
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
3.5 The Five-Number Summary and Boxplots
Making an Informed Decision: What Car Should I Buy?
Case Study: Who Was “A Mourner”?
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
Making an Informed Decision: Relationships Among Variables on a World Scale
Case Study: Thomas Malthus, Population, and Subsistence
III: PROBABILITY AND PROBABILITY DISTRIBUTIONS
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
5.7 Putting It Together: Which Method Do I Use?
Making an Informed Decision: What Are the Effects of Drinking and Driving?
Case Study: The Case of the Body in the Bag
6. Discrete Probability Distributions
6.1 Discrete Random Variables
6.2 The Binomial Probability Distribution
6.3 The Poisson Probability Distribution
Making an Informed Decision: Should We Convict?
Case Study: The Voyage of the St. Andrew
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
Making an Informed Decision: What Stock Do I Pick?
Case Study: A Tale of Blood, Chemistry, and Health
IV: INFERENCE – FROM SAMPLES TO POPULATION
8. Sampling Distributions
8.1 Distribution of the Sample Mean
8.2 Distribution of the Sample Proportion
Making an Informed Decision: How Would You Break Down Your Day?
Case Study: Sampling Distribution of the Median
9. 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
Making an Informed Decision: How Much Should I Spend for this House?
Case Study: When Model Requirements Fail
10. 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?
Making an Informed Decision: Selecting a Mutual Fund
Case Study: How Old Is Stonehenge?
11. 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?
Making an Informed Decision: Which Car Should I Buy?
Case Study: Control in the Design of Experiment
12. 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
Making an Informed Decision: What Are the Benefits of College?
Case Study: Feeling Lucky? Well, Are You?
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
Making an Informed Decision: Where Should I Invest?
Case Study: Hat Size and Intelligence
14. 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
Making an Informed Decision: Buying a Home
Case Study: Housing Boom
Appendix A: Tables
Appendix B: Lines
Appendix 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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