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Essentials of statistics / Mario F. Triola.

By: Triola, Mario F.
Material type: materialTypeLabelBookPublisher: Boston : Pearson Addison Wesley, c2008Edition: 3rd ed.Description: xxii, 689 p. : ill. ; 26 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780321484093; 0321434250.Subject(s): Statistics | Probability & statistics | MathematicsDDC classification: 519.5 TRI
Contents:
Introduction to statistics -- Summarizing and graphing data -- Statistics for describing, exploring and comparing data -- Probability -- Discrete probability distributions -- Normal probability distributions -- Estimates and samples sizes -- Hypothesis testing -- Inferences from two samples -- Correlation and regression -- Chi-square and analysis of variance.
Summary: No further information has been provided for this title.
Holdings
Item type Current library Call number Status Barcode
General lending MTU Kerry North Campus Library First Floor Main 519.5 TRI (Browse shelf(Opens below)) Available 38888000811459
Total holds: 0

Enhanced descriptions from Syndetics:

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.


Datasets and other resources (where applicable) for this book are available here .

Includes index.

Introduction to statistics -- Summarizing and graphing data -- Statistics for describing, exploring and comparing data -- Probability -- Discrete probability distributions -- Normal probability distributions -- Estimates and samples sizes -- Hypothesis testing -- Inferences from two samples -- Correlation and regression -- Chi-square and analysis of variance.

No further information has been provided for this title.

Table of contents provided by Syndetics

  • 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

Author notes provided by Syndetics

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 .