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Essentials of Statistics,Third Edition is the ideal text for instructors who want a more economical and streamlined text for their introductory statistics course. Drawn from Triola's Elementary Statistics, Tenth Edition, this text provides the same student-friendly approach with material presented in a real-world context.
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.
Chapter 1 Introduction to Statistics
1-1 Overview
1-2 Types of Data
1-3 Critical Thinking
1-4 Design of Experiments
Chapter 2 Summarizing and Graphing Data
2-1 Overview
2-2 Frequency Distributions
2-3 Histograms
2-4 Statistical Graphics
Chapter 3 Statistics for Describing, Exploring, and Comparing Data
3-1 Overview
3-2 Measures of Center
3-3 Measures of Variation
3-4 Measures of Relative Standing
3-5 Exploratory Data Analysis (EDA)
Chapter 4 Probability
4-1 Overview
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)
Chapter 5 Probability Distributions
5-1 Overview
5-2 Random Variables
5-3 Binomial Probability Distributions
5-4 Mean, Variance, and Standard Deviation for the Binomial Distribution
Chapter 6 Normal Probability Distributions
6-1 Overview
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
Chapter 7 Estimates and Sample Sizes
7-1 Overview
7-2 Estimating a Population Proportion
7-3 Estimating a Population Mean: s Known
7-4 Estimating a Population Mean: s Not Known
7-5 Estimating a Population Variance
Chapter 8 Hypothesis Testing
8-1 Overview
8-2 Basics of Hypothesis Testing
8-3 Testing a Claim about a Proportion
8-4 Testing a Claim about a Mean: s Known
8-5 Testing a Claim about a Mean: s Not Known
8-6 Testing a Claim about Variation
Chapter 9 Inferences from Two Samples
9-1 Overview
9-2 Inferences about Two Proportions
9-3 Inferences about Two Means: Independent Samples
9-4 Inferences from Matched Pairs
Chapter 10 Correlation and Regression
10-1 Overview
10-2 Correlation
10-3 Regression
10-4 Variation and Prediction Intervals
10-5 Rank Correlation
Chapter 11 Chi-Square and Analysis of Variance
11-1 Overview
11-2 Multinomial Experiments: Goodness-0f-Fit
11-3 Contingency Tables: Independence and Homogeneity
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