Published by Pearson (October 3, 2013) © 2014

John Freund | Benjamin Perles
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    ISBN-13: 9781292053028

    Modern Elementary Statistics ,12th edition

    Language: English

    Preface

    Chapter 1: Introduction

    1.1   The Growth of Modern Statistics

    1.2   Sources of Statistical Data

    1.3   The Nature of Statistical Data

     

    Chapter 2: Summarizing Data: Listing and Grouping

    2.1   Listing Numerical Data

    2.2   Stem-and-Leaf Displays

    2.3   Frequency Distribution

    2.4   Graphical Presentations

    2.5   Summarizing Two-Variable Data

     

    Chapter 3: Summarizing Data: Measures of Location

    3.1   Population and Samples

    3.2   The Mean

    3.3   The Weighted Mean

    3.4   The Median

    3.5   Other Fractiles

    3.6   The Mode

    3.7   The Description of Grouped Data

    3.8   Technical Note (Summations)

     

    Chapter 4: Summarizing Data: Measures of Variation

    4.1   The Range

    4.2   The Standard Deviation and the Variance

    4.3   Applications of the Standard Deviation

    4.4   The Description of Grouped Data

    4.5   Some Further Descriptions

     

    Chapter 5: Possibilities and Probabilities

    5.1   Counting

    5.2   Permutations

    5.3   Combinations

    5.4   Probability

     

    Chapter 6: Some Rules of Probability

    6.1   Samples Spaces and Events

    6.2   The Postulates of Probability

    6.3   Probabilities and Odds

    6.4   Addition Rules

    6.5   Conditional Probability

    6.6   Multiplication Rules

    6.7   Bayes’ Theorem

     

    Chapter 7: Expectations and Decisions

    7.1   Mathematical Expectation

    7.2   Decision Making

    7.3   Statistical Decision Problems

     

    Chapter 8: Probability Distributions

    8.1   Random Variables

    8.2   Probability Distributions

    8.3   The Binomial Distribution

    8.4   The Hypergeometric Distribution

    8.5   The Poisson Distribution

    8.6   The Multinomial Distribution

    8.7   The Mean of a Probability Distribution

    8.8   The Standard Deviation of a Probability Distribution

     

    Chapter 9: The Normal Distribution

    9.1   Continuous Distributions

    9.2   The Normal Distribution

    9.3   A Check for Normality

    9.4   Applications of the Normal Distribution

    9.5   The Normal Approximation to the Binomial

     

    Chapter 10: Sampling and Sampling Distributions

    10.1 Random Sampling

    10.2 Sample Designs

    10.3 Systematic Sampling

    10.4 Stratified Sampling

    10.5 Cluster Sampling

    10.6 Sampling Distributions

    10.7 The Standard Error of the Mean

    10.8 The Central Limit Theorem

    10.9 Some Further Considerations

    10.10    Technical Note (Simulation)

     

    Chapter 11: Problems of Estimation

    11.1 The Estimation of Means

    11.2 The Estimation of Means

    11.3 The Estimation of Standard Deviations

    11.4 The Estimation of Proportions

     

    Chapter 12: Tests of Hypotheses: Means

    12.1 Tests of Hypotheses

    12.2 Significance Tests

    12.3 Tests Concerning Means

    12.4 Tests Concerning Means ( unknown)

    12.5 Differences Between Means

    12.6 Differences Between Means ( unknown)

    12.7 Difference Between Means (Paired data)

     

    Chapter 13: Tests of Hypotheses: Standard Deviations

    13.1 Tests Concerning Standard Deviations

    13.2 Tests Concerning Two Standard Deviations

     

    Chapter 14: Tests of Hypotheses Based on Count Data

    14.1 Tests Concerning Proportions

    14.2 Tests Concerning Proportions (Large Samples)

    14.3 Differences Between Proportions

    14.4 The Analysis of r x c Table

    14.5 Goodness of Fit

     

    Chapter 15: Analysis of Vari