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Purchase Benefits
What is included with this book?
95% of Introductory Statistics students will never take another statistics course. What do you want to learn?
Discover the Power of Real Data
Mario Triola remains the market-leading statistics author by engaging readers of each edition with an abundance of real data in the examples, applications, and exercises. Statistics is all around us, and Triola helps readers understand how this course will impact their lives beyond the classroom–as consumers, citizens, and professionals.
Essentials of Statistics, Fourth Edition is a more economical and streamlined introductory statistics text. Drawn from Triola’s Elementary Statistics, Eleventh Edition, this text provides the same student-friendly approach with material presented in a real-world context.
The Fourth Edition contains more than 1,700 exercises (18% more than the previous edition); 89% are new and 81% use real data. The book also contains hundreds of examples; 86% are new and 92% use real data. By analyzing real data, readers are able to connect abstract concepts to the world at large, teaching them to think statistically and apply their conceptual understanding using the same methods that professional statisticians employ.
Datasets and other resources (where applicable) for this book are available here.
Mario F. Triola is a Professor Emeritus of Mathematics at Dutchess Community College, where he has taught statistics for over 30 years. In addition to this text, Marty is the author of Elementary Statistics, Elementary Statistics Using Excel, Elementary Statistics Using the TI-83/84 Plus Calculator, and he is a co-author of Biostatistics for the Biological and Health Sciences, Statistical Reasoning for Everyday Life and Business Statistics. He has written several manuals and workbooks for technology supporting statistics education. Outside of the classroom, Marty has been a speaker at many conferences and colleges. His consulting work includes the design of casino slot machines and fishing rods, and he has worked with attorneys in determining probabilities in paternity lawsuits, identifying salary inequities based on gender, analyzing disputed election results, analyzing medical data, and analyzing medical school surveys. Marty has testified as an expert witness in New York State Supreme Court. The Text and Academic Authors Association has awarded Mario F. Triola a "Texty" for Excellence for his work on Elementary Statistics.
1. Introduction to Statistics
1-1. Review and Preview
1-2. Statistical Thinking
1-3. Types of Data
1-4. Critical Thinking
1-5. Design of Experiments
2. Summarizing and Graphing Data
2-1. Review and Preview
2-2. Frequency Distributions
2-3. Histograms
2-4. Statistical Graphics
2-5. Critical Thinking: Bad Graphs
3. Statistics for Describing, Exploring, and Comparing Data
3-1. Review and Preview
3-2. Measures of Center
3-3. Measures of Variation
3-4. Measures of Relative Standing and Boxplots
4. Probability
4-1. Review and Preview
4-2. Fundamentals
4-3. Addition Rule
4-4. Multiplication Rule: Basics
4-5. Multiplication Rule: Complements and Conditional Probability
4-6. Counting
4-7. Bayes' Theorem (on CD-ROM)
5. Discrete Probability Distributions
5-1. Review and Preview
5-2. Random Variables
5-3. Binomial Probability Distributions
5-4. Mean, Variance, and Standard Deviation for the Binomial Distribution
6. Normal Probability Distributions
6-1. Review and Preview
6-2. The Standard Normal Distribution
6-3. Applications of Normal Distributions
6-4. Sampling Distributions and Estimators
6-5. The Central Limit Theorem
6-6. Normal as Approximation to Binomial
6-.7 Assessing Normality
7. Estimates and Sample Sizes
7-1. Review and Preview
7-2. Estimating at Population Proportion
7-3. Estimating Population Mean: ? Known
7-4. Estimating a Population Mean: ? Not Known
7-5. Estimating a Population Variance
8. Hypothesis Testing
8-1. Review and Preview
8-2. Basics of Hypothesis Testing
8-3. Testing a Claim About a Proportion
8-4. Testing a Claim About a Mean: ? Known
8-5. Testing a Claim About a Mean: ? Not Known
8-6. Testing a Claim About Variation
9. Inferences from Two Samples
9-1. Review and Preview
9-2. Inferences About Two Proportions
9-3. Inferences About Two Means: Independent Samples
9-4. Inferences from Matched Pairs
10. Correlation and Regression
10-1. Review and Preview
10-2. Correlation
10-3. Contingency Tables
10-4. Variation and Prediction Intervals
10-5. Rank Correlation
11. Chi-Square and Analysis of Variance
11-1. Review and Preview
11-2. Goodness-of-Fit
11-3. Contingency Tables
11-4. Analysis of Variance
Appendices
Appendix A: Tables
Appendix B: Data Sets
Appendix C: Answers to Odd-Numbered Exercises (and All Review Exercises and All Cumulative Review Exercises)
Credits
Index