MTU Library Catalogue

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Elementary statistics / Mario F. Triola.

By: Triola, Mario F.
Material type: materialTypeLabelBookPublisher: Boston ; London: Pearson/Addison-Wesley, c2005Edition: 9th ed., updated.Description: xxix, 838 p. : ill. (some col.) ; 26 cm. + 1 CD-ROM (4 3/4 in.).ISBN: 0321288394; 9780321288394.Subject(s): Statistics | Statistics -- Textbooks | Probability & statisticsDDC classification: 519.5 TRI
Holdings
Item type Current library Call number Copy number Status Barcode
General lending MTU Kerry North Campus Library First Floor Main 519.5 TRI (Browse shelf(Opens below)) 1 Available 38888000534044
General lending MTU Kerry North Campus Library First Floor Main 519.5 TRI (Browse shelf(Opens below)) 2 Available 38888000534036
Total holds: 0

Enhanced descriptions from Syndetics:

Elementary Statistics has been written for the introductory statistics course and students majoring in any field. Although the use of algebra is minimal, students should have completed at least an elementary algebra course. In many cases, underlying theory is included, but this book does not stress the mathematical rigor more suitable for mathematics majors. Triola is the #1 best seller in the market long recognized for its student-friendly pedagogy and wealth of exercises using real data. The ninth edition offers new large and small data sets, a greater emphasis on interpreting results, and improved flexible technology coverage with many examples and exercises covering a wide variety of different and interesting statistical applications.

Includes bibliographical references (p. 793-794) and index.

Table of contents provided by Syndetics

  • 1 Introduction to Statistics
  • Overview
  • The Nature of Data
  • Uses and Abuses of Statistics
  • Design of Experiments
  • 2 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)
  • 3 Probability
  • Overview
  • Fundamentals
  • Addition Rule
  • Multiplication Rule: Basics
  • Multiplication Rule: Complements and Conditional Probability
  • Probabilities Through Simulations
  • Counting
  • 4 Probability Distributions
  • Overview
  • Random Variables
  • Binomial Probability Distributions
  • Mean, Variance, and Standard Deviation for the Binomial Distribution
  • The Poisson Distribution
  • 5 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
  • 6 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
  • 7 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
  • 8 Inferences from Two Samples
  • Overview
  • Inferences about Two Means: Independent and Large Samples
  • Inferences about Two Means: Matched Pairs