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## Details

Document Type: | Book |
---|---|

All Authors / Contributors: |
William Navidi; Barry Monk |

ISBN: | 9780073386126 007338612X |

OCLC Number: | 898563763 |

Description: | 1 v. (varie sequenze) p. : illustrations ; 29 cm 1 c. ripieg. di formule |

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 |

Responsibility: | William Nvidi, Barry Monk. |

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