The Practice of Statistics TI-83/89 Graphing Calculator Enhanced
by Yates, Dan; Moore, David S.; Starnes, Daren S.Edition: 2nd
Format: Hardcover
Pub. Date: 2002-07-03
Publisher(s): W. H. Freeman
Other versions by this Author
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Summary
"When The College Board created the Advanced Placement (AP) statistics course, they recommended Moore and McCabe's Introduction to the Practice of Statistics and Moore's The Basic Practice of Statistics. Still, these books lacked several key elements such as activities and special topics. So, starting with the classic features of IPS and BPS, veteran AP statistics instructor Dan Yates fashioned a text that perfectly matched the College Board's recommended syllabus-The Practice of Statistics. This text is now the #1 bestselling title for AP high school statistics courses."
Table of Contents
Preface
Statistical Thinking
PART I. ORGANIZING DATA: LOOKING FOR PATTERNS AND DEPARTURES FROM PATTERNS
1. Exploring Data
1.1 Displaying Distributions with Graphs
1.2 Describing Distributions with Numbers
2. The Normal Distributions
2.1 Density Curves and the Normal Distribution
2.2 Standard Normal Calculations
3. Examining Relationships
3.1 Scatterplots
3.2 Correlation
3.3 Least-Squares Regression
4. More on Two-Variable Data
4.1 Transforming Relationships
4.2 Cautions about Correlation and Regression
4.3 Relations in Categorical Data
PART II. PRODUCING DATA: SAMPLES, EXPERIMENTS, AND SIMULATIONS
5. Producing Data
5.1 Designing Samples
5.2 Designing Experiments
5.3 Simulating Experiments
PART III PROBABILITY: FOUNDATIONS OF INFERENCE
6. Probability: The Study of Randomness
6.1 The Idea of Probability
6.2 Probability Models
6.3 General Probability Rules
7. Random Variables
7.1 Discrete and Continuous Random Variables
7.2 Means and Variances of Random Variables
• Revised treatment of rules for means and variances
• New subsection on combining normal random variables
8. The Binomial and Geometric Distributions
8.1 The Binomial Distributions
8.2 The Geometric Distributions
9. Sampling Distributions
9.1 Sampling Distributions
9.2 Sample Proportions
9.3 Sample Means
PART IV. INFERENCE: CONCLUSIONS WITH CONFIDENCE
10. Introduction to Inference
10.1 Estimating with Confidence
10.2 Tests of Significance
10.3 Making Sense of Statistical Significance
10.4 Inference as Decision
11. Inference for Distributions
11.1 Inference for the Mean of a Population
11.2 Comparing Two Means
12. Inference for Proportions
12.1 Inference for a Population Proportion
12.2 Comparing Two Proportions
13. Inference for Tables: Chi-Square Procedures
13.1 Test for Goodness of Fit
13.2 Inference for Two-Way Tables
14. Inference for Regression
14.1 Inference about the Model
14.2 Predictions and Conditions
15. Analysis of Variance
15.1 Inference for Population Spread
15.2 One-Way Analysis of Variance
Additional, optional, post-exam chapters on the student and instructor's CDs:
16. Multiple Linear Regression
17. Logistic Regression
Statistical Thinking
PART I. ORGANIZING DATA: LOOKING FOR PATTERNS AND DEPARTURES FROM PATTERNS
1. Exploring Data
1.1 Displaying Distributions with Graphs
1.2 Describing Distributions with Numbers
2. The Normal Distributions
2.1 Density Curves and the Normal Distribution
2.2 Standard Normal Calculations
3. Examining Relationships
3.1 Scatterplots
3.2 Correlation
3.3 Least-Squares Regression
4. More on Two-Variable Data
4.1 Transforming Relationships
4.2 Cautions about Correlation and Regression
4.3 Relations in Categorical Data
PART II. PRODUCING DATA: SAMPLES, EXPERIMENTS, AND SIMULATIONS
5. Producing Data
5.1 Designing Samples
5.2 Designing Experiments
5.3 Simulating Experiments
PART III PROBABILITY: FOUNDATIONS OF INFERENCE
6. Probability: The Study of Randomness
6.1 The Idea of Probability
6.2 Probability Models
6.3 General Probability Rules
7. Random Variables
7.1 Discrete and Continuous Random Variables
7.2 Means and Variances of Random Variables
• Revised treatment of rules for means and variances
• New subsection on combining normal random variables
8. The Binomial and Geometric Distributions
8.1 The Binomial Distributions
8.2 The Geometric Distributions
9. Sampling Distributions
9.1 Sampling Distributions
9.2 Sample Proportions
9.3 Sample Means
PART IV. INFERENCE: CONCLUSIONS WITH CONFIDENCE
10. Introduction to Inference
10.1 Estimating with Confidence
10.2 Tests of Significance
10.3 Making Sense of Statistical Significance
10.4 Inference as Decision
11. Inference for Distributions
11.1 Inference for the Mean of a Population
11.2 Comparing Two Means
12. Inference for Proportions
12.1 Inference for a Population Proportion
12.2 Comparing Two Proportions
13. Inference for Tables: Chi-Square Procedures
13.1 Test for Goodness of Fit
13.2 Inference for Two-Way Tables
14. Inference for Regression
14.1 Inference about the Model
14.2 Predictions and Conditions
15. Analysis of Variance
15.1 Inference for Population Spread
15.2 One-Way Analysis of Variance
Additional, optional, post-exam chapters on the student and instructor's CDs:
16. Multiple Linear Regression
17. Logistic Regression
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