Elementary Statistics Using Excel – Mario F. Triola – 5th Edition


From SAT scores to job search methods; statistics influences and shapes the world around us. Marty Triola’s text continues to be the bestseller because it helps students understand the relationship between statistics and the world; bringing life to the theory and methods.

Elementary Statistics Using Excel raises the bar with every edition by incorporating an unprecedented amount of real and interesting data that will help instructors connect with students today; and help them connect statistics to their daily lives. The Fifth Edition contains more than 1;800 exercises; 89% of which use real data and 85% of which are new. Hundreds of examples are included; 91% of which use real data and 84% of which are new.

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  • Chapter 1 Introduction to Statistics
    1.1 Review and Preview
    1.2 Statistical Thinking and Critical Thinking
    1.3 Types of Data
    1.4 Collecting Sample Data
    1.5 Introduction to Excel

    Chapter 2 Summarizing and Graphing
    2.1 Review and Preview
    2.2 Frequency Distributions
    2.3 Histograms
    2.4 Graphs that Enlighten and Graphs that Deceive
    Chapter 3 Statistics for Describing, Exploring, and Comparing
    3.1 Review and Preview
    3.2 Measures of Center
    3.3 Measures of Variation
    3.4 Measures of Relative Standing & Boxplots

    Chapter 4 Probability
    4.1 Review and Preview
    4.2 Basic Concepts of Probability
    4.3 Addition Rule
    4.4 Multiplication Rule: Basics
    4.5 Multiplication Rule: Complements and Conditional Probability
    4.6 Counting
    4.7 Probabilities Through Simulations (on CD)
    4.8 Bayes’ Theorem (on CD)

    Chapter 5 Discrete Probability Distributions
    5.1 Review and Preview
    5.2 Probability Distributions
    5.3 Binomial Probability Distributions
    5.4 Parameters for Binomial Distributions
    5.5 Poisson Probability Distributions

    Chapter 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 Central Limit Theorem
    6.6 Assessing Normality
    6.7 Normal as Approximation to Binomial

    Chapter 7 Estimates and Sample Sizes
    7.1 Review and Preview
    7.2 Estimating a Population Proportion
    7.3 Estimating Population Mean
    7.4 Estimating Population Standard Deviation or Variance

    Chapter 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
    8.5 Testing a Claim About a Standard Deviation or Variance

    Chapter 9 Inferences from Two Samples
    9.1 Review and Preview
    9.2 Two Proportions
    9.3 Two Means: Independent Samples
    9.4 Two Dependent Samples (Matched Pairs)
    9.5 Two Variances or Standard Deviations

    Chapter 10 Correlation and Regression
    10.1 Review and Preview
    10.2 Correlation
    10.3 Regression
    10.4 Prediction Intervals and Variation
    10.5 Multiple Regression
    10.6 Nonlinear Regression

    Chapter 11 Goodness-of-Fit and Contingency Tables
    11.1 Review and Preview
    11.2 Goodness-of-Fit
    11.3 Contingency Tables

    Chapter 12 Analysis of Variance
    12.1 Review and Preview
    12.2 One-Way ANOVA
    12.3 Two-Way ANOVA

    Chapter 13 Nonparametric Tests
    13.1 Review and Preview
    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
    13.6 Rank Correlation
    13.7 Runs Test for Randomness

    Chapter 14 Statistical Process Control
    14.1 Review and Preview
    14.2 Control Charts for Variation and Mean
    14.3 Control Charts for Attributes
  • Citation

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