简介
Book Info This textbook provides an introduction to statistics. Covers describing， exploring， and comparing data， probability， probability distributions， normal probability distributions， estimates and sample sizes， hypothesis testing， correlation and regression and statistical process control. DLC: Statistics. --This text refers to an out of print or unavailable edition of this title. 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 Essentials of Statistics， Elementary Statistics Using Excel， Mathematics in the Modern World， and Survey of Mathematics. He is a co(author of Statistical Reasoning for Everyday Life， Business Statistics， and Introduction to Technical Mathematics. He designed the original STATDISK statistical software package， and he has written several manuals and workbooks for technology supporting statistics education. Outside of the classroom， Marty's consulting work includes the mathematical 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， and analyzing disputed election results. Marty has testified as an expert witness in New York State Supreme Court for an election dispute involving a former student. Marty was a recent writing team member of the Project Coalition with NASA and the American Mathematics Association of Two(Year Colleges.When he's not working， Marty enjoys travel， golf， tennis， running， hiking， and anything that flies. He has a commercial pilot's license with an instrument rating， and has flown airplanes， helicopters， sail planes， hang gliders， and hot air balloons. His passion for flying has included parachute jumps， flying in a Goodyear blimp， and parasailing.The Text and Academic Authors Association has awarded Mario F. Triola a "Texty" for Excellence for his work on Elementary Statistics. --This text refers to an out of print or unavailable edition of this title.
目录
Introduction to Statistics
Overview
The Nature of Data
Uses and Abuses of Statistics
Design of Experiments
Describing, Exploring, and Comparing Data
Overview
Summarizing Data with Frequency Tables
Pictures of Data
Measures of Center
Measures of Variation
Measures of Position
Exploratory Data Analysis (EDA)
Probability
Overview
Fundamentals
Addition Rule
Multiplication Rule: Basics
Multiplication Rule: Complements and Conditional Probability
Probabilities Through Simulations
Counting
Probability Distributions
Overview
Random Variables
Binomial Probability Distributions
Mean, Variance, and Standard Deviation for the Binomial Distribution
The Poisson Distribution
Normal Probability Distributions
Overview
The Standard Normal Distribution
Nonstandard Normal Distributions: Finding Probabilities
Nonstandard Normal Distributions: Finding Values
The Central Limit Theorem
Normal Distribution as Approximation to Binomial Distribution
Determining Normality
Estimates and Sample Sizes
Overview
Estimating a Population Mean: Large Samples
Estimating a Population Mean: Small Samples
Determining Sample Size
Estimating a Population Proportion
Estimating a Population Variance
Hypothesis Testing
Overview
Fundamentals of Hypothesis Testing
Testing a Claim about a Mean: Large Samples
Testing a Claim about a Mean: Small Samples
Testing a Claim about a Proportion
Testing a Claim about a Standard Deviation or Variance
Inferences from Two Samples
Overview
Inferences about Two Means: Independent and Large Samples
Inferences about Two Means: Matched Pairs
Inferences about Two Proportions
Comparing Variation in Two Samples
Inferences about Two Means: Independent and Small Samples
Correlation and Regression
Overview
Correlation
Regression
Variation and Prediction Intervals
Multiple Regression
Modeling
Multinomial Experiments and Contingency Tables
Overview
Multinomial Experiments: Goodness-0f-Fit
Contingency Tables: Independence and Homogeneity
Analysis of Variance
Overview
One-Way ANOVA
Two-Way ANOVA
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
Statistical Process Control
Overview
Control Charts for Variation and Mean
Control Charts for Attributes
Projects, Procedures, Perspectives
Projects
Procedure
Perspective
Appendices
Tables
Data Sets
TI-83 Plus Reference
Glossary
Bibliography
Answers to Odd-Numbered Exercises (and All Review Exercises and All Cumulative Review Exercises)
Credits
Overview
The Nature of Data
Uses and Abuses of Statistics
Design of Experiments
Describing, Exploring, and Comparing Data
Overview
Summarizing Data with Frequency Tables
Pictures of Data
Measures of Center
Measures of Variation
Measures of Position
Exploratory Data Analysis (EDA)
Probability
Overview
Fundamentals
Addition Rule
Multiplication Rule: Basics
Multiplication Rule: Complements and Conditional Probability
Probabilities Through Simulations
Counting
Probability Distributions
Overview
Random Variables
Binomial Probability Distributions
Mean, Variance, and Standard Deviation for the Binomial Distribution
The Poisson Distribution
Normal Probability Distributions
Overview
The Standard Normal Distribution
Nonstandard Normal Distributions: Finding Probabilities
Nonstandard Normal Distributions: Finding Values
The Central Limit Theorem
Normal Distribution as Approximation to Binomial Distribution
Determining Normality
Estimates and Sample Sizes
Overview
Estimating a Population Mean: Large Samples
Estimating a Population Mean: Small Samples
Determining Sample Size
Estimating a Population Proportion
Estimating a Population Variance
Hypothesis Testing
Overview
Fundamentals of Hypothesis Testing
Testing a Claim about a Mean: Large Samples
Testing a Claim about a Mean: Small Samples
Testing a Claim about a Proportion
Testing a Claim about a Standard Deviation or Variance
Inferences from Two Samples
Overview
Inferences about Two Means: Independent and Large Samples
Inferences about Two Means: Matched Pairs
Inferences about Two Proportions
Comparing Variation in Two Samples
Inferences about Two Means: Independent and Small Samples
Correlation and Regression
Overview
Correlation
Regression
Variation and Prediction Intervals
Multiple Regression
Modeling
Multinomial Experiments and Contingency Tables
Overview
Multinomial Experiments: Goodness-0f-Fit
Contingency Tables: Independence and Homogeneity
Analysis of Variance
Overview
One-Way ANOVA
Two-Way ANOVA
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
Statistical Process Control
Overview
Control Charts for Variation and Mean
Control Charts for Attributes
Projects, Procedures, Perspectives
Projects
Procedure
Perspective
Appendices
Tables
Data Sets
TI-83 Plus Reference
Glossary
Bibliography
Answers to Odd-Numbered Exercises (and All Review Exercises and All Cumulative Review Exercises)
Credits
- 名称
- 类型
- 大小
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