Elementary Statistics – Mario F. Triola – 11th Edition

Description

Mario ’s Elementary remains -leading introductory statistics because it engages with an abundance of real data in the examples; applications; and exercises. is all around us in our daily lives; and is dedicated to finding new real-world examples and data sets for you to use in your classroom.

The Eleventh Edition contains 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; 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.

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  • 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
    10-1 Review and Preview
    10-2 Correlation
    10-3 Contingency Tables
    10-4 Variation and Prediction Intervals
    10-5 Multiple Regression
    10-6 Modeling

    11. Goodness-of-Fit and Contingency Tables
    11-1 Review and Preview
    11-2 Goodness-of-Fit
    11-3 Contingency Tables
    11-4 McNemar's Test for Matched Pairs

    12. Analysis of Variance
    12-1 Review and Preview
    12-2 One-Way ANOVA
    12-3 Two-Way ANOVA

    13. Nonparametric Statistics
    13-1 Review and Preview
    13-2 Sign Test
    13-3 Wilcoxon Signed Ranks Test for Matched Pairs
    13-4 Wilcoxon Ranked-Sum Test for Two Independent Samples
    13-5 Kruskal-Wallis Test
    13-6 Rank Correlation
    13-7 Runs Test for Randomness

    14. Statistics Process Control
    14-1 Review and Preview
    14-2 Control Charts for Variation and Mean
    14-3 Control Charts for Attributes

    15. Projects, Procedures, Perspectives
    15-1 Projects
    15-2 Procedure
    15-3 Perspective

    Appendices
    Appendix A: Tables
    Appendix B: Data Sets
    Appendix C: Bibliography of Books and Websites
    Appendix D: Answers to Odd-Numbered Exercises (and All Review Exercises and All Cumulative Review Exercises)

    Credits
    Index
  • Citation

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