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Elementary Statistics Using Excel cover

Elementary Statistics Using Excel

by Mario F. Triola

7th Edition

Publisher: Pearson

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Probability & Statistics

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Book Details

Print ISBN9780136921721
eText ISBN9780136937531
PublisherPearson
Publishing Year2022
Edition7th Edition
LanguageEnglish

Authored by Mario F. Triola, Elementary Statistics Using Excel, 7th Edition, is a Pearson textbook designed for introductory statistics courses. The text introduces fundamental statistical principles and data analysis techniques across diverse academic disciplines.

Broad areas of coverage include summarizing data with tables and graphs, discrete and continuous probability distributions, parameter estimation, hypothesis testing, and regression analysis. Real-world applications illustrate key concepts using contemporary data sets from fields such as cybersecurity and drones.

The volume includes study resources to help students across all majors understand statistical concepts. Visual flowcharts simplify complex analytical steps, while dedicated end-of-chapter features provide opportunities for practice and critical thinking.

Table of Contents

  1. Chapter 1: Introduction to Statistics

    • • 1.1 Statistical and Critical Thinking
    • • 1.2 Types of Data
    • • 1.3 Collecting Sample Data
    • • 1.4 Ethics in Statistics (download only)
  2. Chapter 2: Exploring Data with Tables and Graphs

    • • 2.1 Frequency Distributions for Organizing and Summarizing Data
    • • 2.2 Histograms
    • • 2.3 Graphs That Enlighten and Graphs That Deceive
    • • 2.4 Scatterplots, Correlation, and Regression
  3. Chapter 3: Describing, Exploring, and Comparing Data

    • • 3.1 Measures of Center
    • • 3.2 Measures of Variation
    • • 3.3 Measures of Relative Standing and Boxplots
  4. Chapter 4: Probability

    • • 4.1 Basic Concepts of Probability
    • • 4.2 Addition Rule and Multiplication Rule
    • • 4.3 Complements, Conditional Probability, and Bayes' Theorem
    • • 4.4 Counting
    • • 4.5 Simulations for Hypothesis Tests
  5. Chapter 5: Discrete Probability Distributions

    • • 5.1 Probability Distributions
    • • 5.2 Binomial Probability Distributions
    • • 5.3 Poisson Probability Distributions
  6. Chapter 6: Normal Probability Distributions

    • • 6.1 The Standard Normal Distribution
    • • 6.2 Real Applications of Normal Distributions
    • • 6.3 Sampling Distributions and Estimators
    • • 6.4 The Central Limit Theorem
    • • 6.5 Assessing Normality
    • • 6.6 Normal as Approximation to Binomial (download only)
  7. Chapter 7: Estimating Parameters and Determining Sample Sizes

    • • 7.1 Estimating a Population Proportion
    • • 7.2 Estimating a Population Mean
    • • 7.3 Estimating a Population Standard Deviation or Variance
    • • 7.4 Bootstrapping: Using Technology for Estimates
  8. Chapter 8: Hypothesis Testing

    • • 8.1 Basics of Hypothesis Testing
    • • 8.2 Testing a Claim About a Proportion
    • • 8.3 Testing a Claim About a Mean
    • • 8.4 Testing a Claim About a Standard Deviation or Variance
    • • 8.5 Resampling: Using Technology for Hypothesis Testing
  9. Chapter 9: Inferences from Two Samples

    • • 9.1 Two Proportions
    • • 9.2 Two Means: Independent Samples
    • • 9.3 Matched Pairs
    • • 9.4 Two Variances or Standard Deviations
    • • 9.5 Resampling: Using Technology for Inferences
  10. Chapter 10: Correlation and Regression

    • • 10.1 Correlation
    • • 10.2 Regression
    • • 10.3 Prediction Intervals and Variation
    • • 10.4 Multiple Regression
    • • 10.5 Nonlinear Regression
  11. Chapter 11: Goodness-of-Fit and Contingency Tables

    • • 11.1 Goodness-of-Fit
    • • 11.2 Contingency Tables
  12. Chapter 12: Analysis of Variance

    • • 12.1 One-Way ANOVA
    • • 12.2 Two-Way ANOVA
  13. Chapter 13: Nonparametric Tests

    • • 13.1 Basics of Nonparametric Tests
    • • 13.2 Sign Test
    • • 13.3 Wilcoxon Signed-Ranks Test for Matched Pairs
    • • 13.4 Wilcoxon Rank-Sum Test for Two Independent Samples
    • • 13.5 Kruskal-Wallis Test for Three or More Samples
    • • 13.6 Rank Correlation
    • • 13.7 Runs Test for Randomness
  14. Chapter 14: Statistics Process Control

    • • 14.1 Control Charts for Variation and Mean
    • • 14.2 Control Charts for Attributes
  15. Chapter 15: Holistic Statistics

  16. Chapter APPENDICES: APPENDICES

    • • A: TABLES
    • • B: DATA SETS
    • • C: WEBSITES AND BIBLIOGRAPHY OF BOOKS
    • • D: ANSWERS TO ODD-NUMBERED SECTION EXERCISES (and all Quick Quizzes, all Review Exercises, and all Cumulative Review Exercises)
  17. Chapter Credits: Credits

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