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Elementary statistics using Excel / Mario F. Triola.

By: Triola, Mario F.
Material type: materialTypeLabelBookPublisher: Boston : Pearson Addison Wesley, c2004Edition: 2nd ed.Description: xxi, 867 p. : col. ill. ; 27 cm. + 1 CD-ROM (4 3/4 in.).ISBN: 0201775697; 9780201775693.Subject(s): Microsoft Excel (Computer file) | Statistics | Probability & statistics | Spreadsheet software | Mathematical & statistical softwareDDC 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 38888000402077
General lending MTU Kerry North Campus Library First Floor Main 519.5 TRI (Browse shelf(Opens below)) 1 Available 38888000402069
Total holds: 0

Enhanced descriptions from Syndetics:

An introduction to basic statistics, with a strong emphasis on understanding statistics concepts and the inclusion of Excel spreadsheet technology for the analysis of data.

Includes bibliographical references and index.

System requirements for disc: Mac or PC.

Table of contents provided by Syndetics

  • Chapter 1 Introduction to Statistics (p. 2)
  • 1-1 Overview (p. 4)
  • 1-2 The Nature of Data (p. 5)
  • 1-3 Uses and Abuses of Statistics (p. 11)
  • 1-4 Design of Experiments (p. 16)
  • 1-5 Introduction to Excel (p. 25)
  • Chapter 2 Describing, Exploring, and Comparing Data (p. 40)
  • 2-1 Overview (p. 42)
  • 2-2 Summarizing Data with Frequency Tables (p. 43)
  • 2-3 Pictures of Data (p. 52)
  • 2-4 Measures of Center (p. 68)
  • 2-5 Measures of Variation (p. 83)
  • 2-6 Measures of Position (p. 99)
  • 2-7 Exploratory Data Analysis (EDA) (p. 109)
  • Chapter 3 Probability (p. 126)
  • 3-1 Overview (p. 128)
  • 3-2 Fundamentals (p. 128)
  • 3-3 Addition Rule (p. 143)
  • 3-4 Multiplication Rule: Basics (p. 150)
  • 3-5 Multiplication Rule: Complements and Conditional Probability (p. 159)
  • 3-6 Probabilities Through Simulations (p. 166)
  • 3-7 Counting (p. 170)
  • Chapter 4 Probability Distributions (p. 194)
  • 4-1 Overview (p. 196)
  • 4-2 Random Variables (p. 197)
  • 4-3 Binomial Probability Distributions (p. 211)
  • 4-4 Mean, Variance, and Standard Deviation for the Binomial Distribution (p. 221)
  • 4-5 The Poisson Distribution (p. 226)
  • Chapter 5 Normal Probability Distributions (p. 240)
  • 5-1 Overview (p. 242)
  • 5-2 The Standard Normal Distribution (p. 242)
  • 5-3 Normal Distributions: Finding Probabilities (p. 256)
  • 5-4 Normal Distributions: Finding Values (p. 264)
  • 5-5 The Central Limit Theorem (p. 270)
  • 5-6 Normal Distribution as Approximation to Binomial Distribution (p. 282)
  • 5-7 Determining Normality (p. 294)
  • Chapter 6 Estimates and Sample Sizes (p. 310)
  • 6-1 Overview (p. 312)
  • 6-2 Estimating a Population Mean: Large Samples (p. 312)
  • 6-3 Estimating a Population Mean: Small Samples (p. 328)
  • 6-4 Determining Sample Size Required to Estimate [mu] (p. 339)
  • 6-5 Estimating a Population Proportion (p. 345)
  • 6-6 Estimating a Population Variance (p. 358)
  • Chapter 7 Hypothesis Testing (p. 380)
  • 7-1 Overview (p. 382)
  • 7-2 Fundamentals of Hypothesis Testing (p. 383)
  • 7-3 Testing a Claim about a Mean: Large Samples (p. 397)
  • 7-4 Testing a Claim about a Mean: Small Samples (p. 416)
  • 7-5 Testing a Claim about a Proportion (p. 427)
  • 7-6 Testing a Claim about a Standard Deviation or Variance (p. 435)
  • Chapter 8 Inferences from Two Samples (p. 454)
  • 8-1 Overview (p. 456)
  • 8-2 Inferences about Two Means: Independent and Large Samples (p. 456)
  • 8-3 Inferences about Two Means: Matched Pairs (p. 467)
  • 8-4 Inferences about Two Proportions (p. 476)
  • 8-5 Comparing Variation in Two Samples (p. 487)
  • 8-6 Inferences about Two Means: Independent and Small Samples (p. 496)
  • Chapter 9 Correlation and Regression (p. 520)
  • 9-1 Overview (p. 522)
  • 9-2 Correlation (p. 522)
  • 9-3 Regression (p. 541)
  • 9-4 Variation and Prediction Intervals (p. 554)
  • 9-5 Multiple Regression (p. 565)
  • 9-6 Modeling (p. 573)
  • Chapter 10 Multinomial Experiments and Contingency Tables (p. 588)
  • 10-1 Overview (p. 590)
  • 10-2 Multinomial Experiments: Goodness-of-Fit (p. 591)
  • 10-3 Contingency Tables: Independence and Homogeneity (p. 605)
  • Chapter 11 Analysis of Variance (p. 630)
  • 11-1 Overview (p. 633)
  • 11-2 One-Way ANOVA (p. 635)
  • 11-3 Two-Way ANOVA (p. 648)
  • Chapter 12 Statistical Process Control (p. 670)
  • 12-1 Overview (p. 672)
  • 12-2 Control Charts for Variation and Mean (p. 672)
  • 12-3 Control Charts for Attributes (p. 686)
  • Chapter 13 Nonparametric Statistics (p. 700)
  • 13-1 Overview (p. 702)
  • 13-2 Sign Test (p. 705)
  • 13-3 Wilcoxon Signed-Ranks Test for Matched Pairs (p. 715)
  • 13-4 Wilcoxon Rank-Sum Test for Two Independent Samples (p. 721)
  • 13-5 Kruskal-Wallis Test (p. 729)
  • 13-6 Rank Correlation (p. 738)
  • 13-7 Runs Test for Randomness (p. 748)
  • Chapter 14 Projects, Procedures, Perspectives (p. 773)
  • 14-1 A Statistics Group Project (p. 773)
  • 14-2 Which Procedure Applies? (p. 776)
  • 14-3 A Perspective (p. 778)
  • Appendices (p. 780)
  • Appendix A Tables (p. 781)
  • Appendix B Data Sets (p. 799)
  • Appendix C Excel References (p. 825)
  • Appendix D Glossary (p. 827)
  • Appendix E Bibliography (p. 833)
  • Appendix F Answers to Odd-Numbered Exercises (and All Review Exercises and All Cumulative Review Exercises) (p. 834)
  • Credits (p. 865)
  • Index (p. 867)