圖書描述
Lind/Marchal/Wathen is a perennial market best seller due to its comprehensive coverage of statistical concepts and methods delivered in a student friendly, step-by-step format. The text presents concepts clearly and succinctly with a conversational writing style and illustrates concepts through the liberal use of business-focused examples that are relevant to the current world of a college student. Known as a “student's text,“ Lind's supporting pedagogy includes self-reviews, cumulative exercises, and coverage of software applications including Excel, Minitab, and MegaStat for Excel.
著者信息
作者簡介
Douglas A. Lind
現職：Coastal Carolina University
William G. Marchal
現職：University of Toledo
Samuel A. Wathen
現職：Coastal Carolina University
Douglas A. Lind
現職：Coastal Carolina University
William G. Marchal
現職：University of Toledo
Samuel A. Wathen
現職：Coastal Carolina University
圖書目錄
Ch 1 What Is Statistics?
Ch 2 Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation
Ch 3 Describing Data: Numerical Measures
Ch 4 Describing Data: Displaying and Exploring Data
Ch 5 A Survey of Probability Concepts
Ch 6 Discrete Probability Distributions
Ch 7 Continuous Probability Distributions
Ch 8 Sampling Methods and the Central Limit Theorem
Ch 9 Estimation and Confidence Intervals
Ch 10 One-Sample Tests of Hypothesis
Ch 11 Two-Sample Tests of Hypothesis
Ch 12 Analysis of Variance
Ch 13 Correlation and Linear Regression
Ch 14 Multiple Regression Analysis
Ch 15 Nonparametric Methods: Nominal Level Hypothesis Tests
Ch 16 Nonparametric Methods: Analysis of Ordinal Data
Ch 17 Index Numbers
Ch 18 Time Series and Forecasting
Ch 19 Statistical Process Control and Quality Management
Ch 20 An Introduction to Decision Theory
Ch 2 Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation
Ch 3 Describing Data: Numerical Measures
Ch 4 Describing Data: Displaying and Exploring Data
Ch 5 A Survey of Probability Concepts
Ch 6 Discrete Probability Distributions
Ch 7 Continuous Probability Distributions
Ch 8 Sampling Methods and the Central Limit Theorem
Ch 9 Estimation and Confidence Intervals
Ch 10 One-Sample Tests of Hypothesis
Ch 11 Two-Sample Tests of Hypothesis
Ch 12 Analysis of Variance
Ch 13 Correlation and Linear Regression
Ch 14 Multiple Regression Analysis
Ch 15 Nonparametric Methods: Nominal Level Hypothesis Tests
Ch 16 Nonparametric Methods: Analysis of Ordinal Data
Ch 17 Index Numbers
Ch 18 Time Series and Forecasting
Ch 19 Statistical Process Control and Quality Management
Ch 20 An Introduction to Decision Theory
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