Elementary Statistics Using the Ti-83/84 Plus Calculator - Mario F. Triola

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Résumé :
From SAT scores to job search methods, statistics influences and shapes the world around us. Marty Triola's text continues to be the bestseller because it helps students understand the relationship between statistics and the world, bringing life to the theory and methods. Essentials of Statistics raises the bar with every edition by incorporating an unprecedented amount of real and interesting data that will help instructors connect with students today, and help them connect statistics to their daily lives. The Fifth Edition contains more than 1,800 exercises, 89% of which use real data and 85% of which are new. Hundreds of examples are included, 91% of which use real data and 84% of which are new. New coverage of Ethics in Statistics highlights new guidelines that have been established in the industry.

Biographie:
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, and 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.

Sommaire:
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 1.5 Introduction to the TI-83/84 Plus Calculator 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 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 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) 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 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 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 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 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 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 11. Goodness-of-Fit and Contingency Tables 11.1 Review and Preview 11.2 Goodness-of-Fit 11.3 Contingency Tables 12. Analysis of Variance 12.1 Review and Preview 12.2 One-Way ANOVA 12.3 Two-Way ANOVA 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 14. Statistical Process Control 14.1 Review and Preview 14.2 Control Charts for Variation and Mean 14.3 Control Charts for Attributes