Synopses & Reviews
Key Message: Elementary Statistics Using the TI-83/84 Plus Calculator, Second Edition, guides students through the concepts behind the calculations, raising confidence in their ability to do statistics. Known for being easy both to teach and to learn from,
Elementary Statistics Using the TI-83/84 Plus Calculator, Second Edition, features an engaging writing style, an abundance of relevant exercises with real data, and an emphasis on interpretation of statistical results. In addition, this text provides extensive information on using the TI-83 and TI-84 Plus (and Silver Edition) calculators for statistics, with information on calculator functions, images of screen displays, and projects designed exclusively for the calculator.
Key Topics: Introduction to Statistics; Summarizing and Graphing Data; Statistics for Describing, Exploring, and Comparing Data; Probability; Probability Distributions;
Normal Probability Distributions; Estimates and Sample Sizes; Hypothesis Testing; Inferences from Two Samples; Correlation and Regression; Multinomial Experiments and Contingency Tables; Analysis of Variance; Nonparametric Statistics; Statistical Process Control; Projects, Procedures, Perspectives
Market: For all readers interested in Statistics
About the Author
Mario F. Triola is a Professor Emeritus of Mathematics at Dutchess Community College, where he has taught statistics for over 30 years. Marty is the author of Elementary Statistics, 10th Edition, 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.
Table of Contents
1. Introduction to Statistics
Overview
Types of Data
Critical Thinking
Design of Experiments
Introduction to the TI-83/84 Plus Calculator
2. Summarizing and Graphing Data
Overview
Frequency Distributions
Histograms
Statistical Graphics
3. Statistics for Describing, Exploring, and Comparing Data
Overview
Measures of Center
Measures of Variation
Measures of Relative Standing
Exploratory Data Analysis (EDA)
4. Probability
Overview
Fundamentals
Addition Rule
Multiplication Rule: Basics
Multiplication Rule: Complements and Conditional Probability
Probabilities Through Simulations
Counting
Bayes’ Theorem (on CD-ROM)
5. Probability Distributions
Overview
Random Variables
Binomial Probability Distributions
Mean, Variance, and Standard Deviation for the Binomial Distribution
The Poisson Distribution
6. Normal Probability Distributions
Overview
The Standard Normal Distribution
Applications of Normal Distributions
Sampling Distributions and Estimators
The Central Limit Theorem
Normal as Approximation to Binomial
Assessing Normality
7. Estimates and Sample Sizes
Overview
Estimating a Population Proportion
Estimating a Population Mean: σ Known
Estimating a Population Mean: σ Not Known
Estimating a Population Variance
8. Hypothesis Testing
Overview
Basics of Hypothesis Testing
Testing a Claim About a Proportion
Testing a Claim About a Mean: σ Known
Testing a Claim About a Mean: σ Not Known
Testing a Claim About Variation
9. Inferences from Two Samples
Overview
Inferences About Two Proportions
Inferences About Two Means: Independent Samples
Inferences from Matched Pairs
Comparing Variation in Two Samples
10. Correlation and Regression
Overview
Correlation
Regression
Variation and Prediction Intervals
Multiple Regression
Modeling
11. Multinomial Experiments and Contingency Tables
Overview
Multinomial Experiments: Goodness-of-Fit
Contingency Tables: Independence and Homogeneity
McNemar’s Test for Matched Pairs
12. Analysis of Variance
Overview
One-Way ANOVA
Two-Way ANOVA
13. Nonparametric Statistics
Overview
Sign Test
Wilcoxon Signed-Ranks Test for Matched Pairs
Wilcoxon Rank-Sum Test for Two Independent Samples
Kruskal-Wallis Test
Rank Correlation
Runs Test for Randomness
14. Statistical Process Control
Overview
Control Charts for Variation and Mean
Control Charts for Attributes
15. Projects, Procedures, Perspectives
Projects
Procedures
Perspectives
Appendices
Appendix A: Tables
Appendix B: Data Sets
Appendix C: Glossary
Appendix D: Bibliography
Appendix E: Answers to Odd-Numbered Exercises (and all Review Exercises and all Cumulative Review Exercises)
Credits
Index