Essentials of Statistics

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