Elementary statistics / Mario F. Triola.
By: Triola, Mario F [author]
.
Material type: 
BookPublisher: Boston : Addison-Wesley, 2010Copyright date: ©2010Edition: 11th edition.Description: xxix, 857 pages : ill. (chiefly col.) ; 29 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780321500243 (hardback); 0321500245 (hardback).Subject(s): StatisticsDDC classification: 519.5 TRI | Item type | Current library | Call number | Status | Notes | Barcode | |
|---|---|---|---|---|---|---|
| General lending | MTU Kerry North Campus Library First Floor Main | 519.5 TRI (Browse shelf(Opens below)) | Available | STAT71000 Essential reading | 38888000943773 | |
| General lending | MTU Kerry North Campus Library First Floor Main | 519.5 TRI (Browse shelf(Opens below)) | Available | STAT71000 Essential reading | 38888000943765 |
Browsing MTU Kerry North Campus Library shelves, Shelving location: First Floor Main Close shelf browser (Hides shelf browser)
Enhanced descriptions from Syndetics:
Normal 0 false false false Mario Triola'sElementary Statisticsremains the market-leading introductory statistics textbook because it engages readers with an abundance of real data in the examples, applications, and exercises. Statistics is all around us in our daily lives, and Triola is dedicated to finding new real-world examples and data sets that make sense for today's reader. TheEleventh Editioncontains more than 2000 exercises, 87% of which are new, and 82% of which use real data. It also contains hundreds of examples, 86% of which are new and 94% of which use real data. By analyzing real data, students are able to connect abstract concepts to the world at large. As a result, they gain conceptual understanding and learn to think statistically, using the same methods that professional statisticians employ. Introduction to Statistics; Summarizing and Graphing Data; Statistics for Describing, Exploring, and Comparing Data; Probability; Discrete Probability Distributions; Normal Probability Distributions; Estimates and Sample Sizes; Hypothesis Testing; Inferences from Two Samples; Correlation and Regression; Goodness-of-Fit and Contingency Tables; Analysis of Variance; Nonparametric Statistics; Statistics Process Control; Projects, Procedures, Perspectives For all readers interested in introductory statistics.
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 sample sizes -- Hypothesis testing -- Inferences from two samples -- Correlation and regression -- Goodness-of-fit and contingency tables -- Analysis of variance -- Nonparametric statistics -- Statistical process control -- Projects, procedures, perspectives.
MTU Kerry Module STAT71000 - Essential reading
Table of contents provided by Syndetics
- 1 Introduction to Statistics
- 1-1 Review and Preview
- 1-2 Statistical Thinking
- 1-3 Types of Data
- 1-4 Critical Thinking
- 1-5 Design of Experiments
- 2 Summarizing and Graphing Data
- 2-1 Review and Preview
- 2-2 Frequency Distributions
- 2-3 Histograms
- 2-4 Statistical Graphics
- 2-5 Critical Thinking: Bad Graphs
- 3 Statistics for Describing, Exploring, and Comparing Data
- 3-1 Review and Preview
- 3-2 Measures of Center
- 3-3 Measures of Variation
- 3-4 Measures of Relative Standing and Boxplots
- 4 Probability
- 4-1 Review and Preview
- 4-2 Fundamentals
- 4-3 Addition Rule
- 4-4 Multiplication Rule: Basics
- 4-5 Multiplication Rule: Complements and Conditional Probability
- 4-6 Probabilities Through Simulations
- 4-7 Counting
- 4-8 Bayes' Theorem (on CD-ROM)
- 5 Discrete Probability Distributions
- 5-1 Review and Preview
- 5-2 Random Variables
- 5-3 Binomial Probability Distributions
- 5-4 Mean, Variance, and Standard Deviation for the Binomial Distribution
- 5-5 The Poisson Distribution
- 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 The Central Limit Theorem
- 6-6 Normal as Approximation to Binomial
- 6-7 Assessing Normality
- 7 Estimates and Sample Sizes
- 7-1 Review and Preview
- 7-2 Estimating at Population Proportion
- 7-3 Estimating Population Mean: ? Known
- 7-4 Estimating a Population Mean: ? Not Known
- 7-5 Estimating a Population 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: ? Known
- 8-5 Testing a Claim About a Mean: ? Not Known
- 8-6 Testing a Claim About Variation
- 9 Inferences from Two Samples
- 9-1 Review and Preview
- 9-2 Inferences About Two Proportions
- 9-3 Inferences About Two Means: Independent Samples
- 9-4 Inferences from Matched Pairs
- 9-5 Comparing Variation in Two Samples
- 10 Correlation and Regression