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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 Essentials of Statistics, Elementary Statistics Using Excel, Elementary Statistics Using the Graphing 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 Review and Preview |
1.2 Statistical Thinking and Critical Thinking |
1.3 Types of Data |
1.4 Collecting Sample Data |
Chapter 2 Summarizing and Graphing |
2.1 Review and Preview |
2.2 Frequency Distributions |
2.3 Histograms |
2.4 Graphs that Enlighten and Graphs that Deceive |
Chapter 3 Statistics for Describing, Exploring, and Comparing |
3.1 Review and Preview |
3.2 Measures of Center |
3.3 Measures of Variation |
3.4 Measures of Relative Standing & Boxplots |
Chapter 4 Probability |
4.1 Review and Preview |
4.2 Basic Concepts of Probability |
4.3 Addition Rule |
4.4 Multiplication Rule: Basics |
4.5 Multiplication Rule: Complements and Conditional Probability |
4.6 Counting |
4.7 Probabilities Through Simulations (on CD) |
4.8 Bayes’ Theorem (on CD) |
Chapter 5 Discrete Probability Distributions |
5.1 Review and Preview |
5.2 Probability Distributions |
5.3 Binomial Probability Distributions |
5.4 Parameters for Binomial Distributions |
5.5 Poisson Probability Distributions |
Chapter 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 Central Limit Theorem |
6.6 Assessing Normality |
6.7 Normal as Approximation to Binomial |
Chapter 7 Estimates and Sample Sizes |
7.1 Review and Preview |
7.2 Estimating a Population Proportion |
7.3 Estimating Population Mean |
7.4 Estimating Population Standard Deviation or Variance |
Chapter 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 |
8.5 Testing a Claim About a Standard Deviation or Variance |
|
Chapter 9 Inferences from Two Samples |
9.1 Review and Preview |
9.2 Two Proportions |
9.3 Two Means: Independent Samples |
9.4 Two Dependent Samples (Matched Pairs) |
9.5 Two Variances or Standard Deviations |
Chapter 10 Correlation and Regression |
10.1 Review and Preview |
10.2 Correlation |
10.3 Regression |
10.4 Prediction Intervals and Variation |
10.5 Multiple Regression |
10.6 Nonlinear Regression |
Chapter 11 Goodness-of-Fit and Contingency Tables |
11.1 Review and Preview |
11.2 Goodness-of-Fit |
11.3 Contingency Tables |
Chapter 12 Analysis of Variance |
12.1 Review and Preview |
12.2 One-Way ANOVA |
12.3 Two-Way ANOVA
|
Chapter 13 Nonparametric Tests |
13.1 Review and Preview |
13.2 Sign Test |
13.3 Wilcoxon Signed Ranks Test for Matched Pairs |
13.4 Wilcoxon Rank-Sum Test for Two Independent Samples |
13.5 Kruskal-Wallis Test |
13.6 Rank Correlation |
13.7 Runs Test for Randomness |
Chapter 14 Statistical Process Control |
14.1 Review and Preview |
14.2 Control Charts for Variation and Mean |
14.3 Control Charts for Attributes |
Chapter 15 Ethics, Projects, Procedures and Perspectives |
15.1 Ethics in Statistics |
15.2 Projects |
15.3 Procedures |
15.4 Perspectives |
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