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  • Elementary Statistics

    Elementary Statistics by Navidi, William; Monk, Barry;

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    Product details:

    • Publisher McGraw-Hill Education
    • Date of Publication 16 February 2012

    • ISBN 9780071317511
    • Binding Paperback
    • No. of pages896 pages
    • Language English
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    Long description:

    Navidi/Monk, Elementary Statistics was developed around three central themes ? Clarity, Quality, and Accuracy. These central themes were born out of extensive market research and feedback from statistics instructors across the country. The authors paid close attention to how material is presented to students, ensuring that the content in the text is very clear, concise, and digestible.High quality exercises, examples and integration of technology are important aspects of an Introductory Statistics text. The authors have provided robust exercise sets that range in difficulty. They have also focused keen attention to ensure that examples provide clear instruction to students. Technology is integrated throughout the text, providing students examples of how to use the TI-83 Plus and TI-84 Plus Graphing Calculators, Microsoft Excel and Minitab.The accuracy of Elementary Statistics was a foundational principle always on the minds of the authors. While this certainly pertains to all aspects of the text, the authors also exhausted energy in ensuring the supplements have been developed to fit cohesively with the text.

    Navidi/Monk, Elementary Statistics was developed around three central themes ? Clarity, Quality, and Accuracy. These central themes were born out of extensive market research and feedback from statistics instructors across the country. The authors paid close attention to how material is presented to students, ensuring that the content in the text is very clear, concise, and digestible.High quality exercises, examples and integration of technology are important aspects of an Introductory Statistics text. The authors have provided robust exercise sets that range in difficulty. They have also focused keen attention to ensure that examples provide clear instruction to students. Technology is integrated throughout the text, providing students examples of how to use the TI-83 Plus and TI-84 Plus Graphing Calculators, Microsoft Excel and Minitab.The accuracy of Elementary Statistics was a foundational principle always on the minds of the authors. While this certainly pertains to all aspects of the text, the authors also exhausted energy in ensuring the supplements have been developed to fit cohesively with the text.

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    Table of Contents:

    Table of Contents?Navidi/Monk Elementary Statistics

    Chapter 1: Basic Ideas

    1.1 Sampling

    1.2 Types of Data

    1.3 Design of Experiments

    1.4 Bias in Study

    Chapter 1 Summary

    Chapter Quiz

    Chapter 1 Review Exercises

    Case Study

    Chapter 2: Graphical Summaries of Data

    2.1 Graphical Summaries for Qualitative Data

    2.2 Frequency Distributions and Their Graphs

    2.3 More Graphs for Quantitative Data

    2.4 Graphs Can Be Misleading

    Chapter 2 Summary

    Chapter Quiz

    Chapter 2 Review Exercises

    Case Study

    Chapter 3: Numerical Summaries of Data

    3.1 Measures of Center Data

    3.2 Measures of Spread

    3.3 Measures of Position

    Chapter 3 Summary

    Chapter Quiz

    Chapter 3 Review Exercises

    Case Study

    Chapter 4: Summarizing Bivariate Data

    4.1 Correlation

    4.2 The Least-Squares Regression Line

    4.3 Features and Limitations of the Least-Squares Regression Line

    Chapter 4 Summary

    Chapter Quiz

    Chapter 4 Review Exercises

    Case Study

    Chapter 5: Probability

    5.1 Basic Ideas

    5.2 The Addition Rule and the Rule of Compliments

    5.3 Conditional Probability and the Multiplication Rule

    5.4 Counting

    Chapter 5 Summary

    Chapter Quiz

    Chapter 5 Review Exercises

    Case Study

    Chapter 6: Discrete Probability Distributions

    6.1 Random Variables

    6.2 The Binomial Distribution

    6.3 The Poisson Distribution

    Chapter 6 Summary

    Chapter Quiz

    Chapter 6 Review Exercises

    Case Study

    Chapter 7: The Normal Distribution

    7.1 The Standard Normal Curve

    7.2 Applications of the Normal Distribution

    7.3 Sampling Distributions and the Central Limit Theorem

    7.4 The Central Limit Theorem for Proportions

    7.5 The Normal Approximation to the Binomial Distribution

    7.6 Assessing Normality

    Chapter 7 Summary

    Chapter Quiz

    Chapter 7 Review Exercises

    Case Study

    Chapter 8: Confidence Intervals

    8.1 Confidence Intervals for a Population Mean, Standard Deviation Known

    8.2 Confidence Intervals for a Population Mean, Standard Deviation Unknown

    8.3 Confidence Intervals for a Population Proportion

    8.4 The Central Limit Theorem for Proportions

    8.5 Determining Which Method to Use

    Chapter 8 Summary

    Chapter Quiz

    Chapter 8 Review Exercises

    Case Study

    Chapter 9: Hypothesis Testing

    9.1 Basic Principles of Hypothesis Testing

    9.2 Hypothesis Tests for a Population Mean, Standard Deviation Known

    9.3 Hypothesis Tests for a Population Mean, Standard Deviation Unknown

    9.4 Hypothesis Tests for Proportions

    9.5 Hypothesis Tests for a Standard Deviation

    9.6 Determining Which Method to Use

    9.7 Power

    Chapter 9 Summary

    Chapter Quiz

    Chapter 9 Review Exercises

    Case Study

    Chapter 10: Two-Sample Confidence Intervals

    10.1 Confidence Intervals for the Difference Between Two Means: Independent Samples

    10.2 Confidence Intervals for the Difference Between Two Proportions

    10.3 Confidence Intervals for the Difference Between Two Means: Paired Samples

    Chapter 10 Summary

    Chapter Quiz

    Chapter 10 Review Exercises

    Case Study

    Chapter 11: Two-Sample Hypothesis Tests

    11.1 Hypothesis Tests for the Difference Between Two Means: Independent Samples

    11.2 Hypothesis Tests for the Difference Between Two Proportions

    11.3 Hypothesis Tests for the Difference Between Two Means: Paired Samples

    11.4 Hypothesis Tests for Two Population Standard Deviations

    11.5 The Multiple Testing Problem

    Chapter 11 Summary

    Chapter Quiz

    Chapter 11 Review Exercises

    Case Study

    Chapter 12: Tests with Qualitative Data

    12.1 Testing Goodness-of-Fit

    12.2 Tests for Independence and Homogeneity

    Chapter 12 Summary

    Chapter Quiz

    Chapter 12 Review Exercises

    Case Study

    Chapter 13: Inference in Linear Models

    13.1 Inference on the Slope of the Regression Line

    13.2 Inference About the Response

    Chapter 13 Summary

    Chapter Quiz

    Chapter 13 Review Exercises

    Case Study

    Chapter 14: Analysis of Variance

    14.1 One-way Analysis of Variance

    14.2 Two-way Analysis of Variance

    Chapter 14 Summary

    Chapter Quiz

    Chapter 14 Review Exercises

    Case Study

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