Now in its 14th edition, Statistics for Business and Economics by McClave, Benson, and Sincich places statistics in the context of contemporary business. The text places emphasis on inference, extensively covering data collection and analysis needed to evaluate the results of statistical studies and make good decisions. Students are encouraged to develop statistical thinking and to understand both the assessment of credibility and the value of data inferences.
Based on the American Statistical Association's Guidelines for Assessment and Instruction in Statistics Education(GAISE) Project, the text emphasizes statistical literacy, fosters active learning in the classroom, discusses intuitive probability, stresses conceptual understanding over mere knowledge of procedures, and employs technology to develop this understanding and to analyze data.
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James T. McClave
現職：University of Florida
P. George Benson
現職：College of Charleston
Terry Sincich
現職：University of South Florida
James T. McClave
現職：University of Florida
P. George Benson
現職：College of Charleston
Terry Sincich
現職：University of South Florida
圖書目錄
Ch 1 Statistics, Data, and Statistical Thinking
Ch 2 Methods for Describing Sets of Data
Ch 3 Probability
Ch 4 Random Variables and Probability Distributions
Ch 5 Sampling Distributions
Ch 6 Inferences Based on a Single Sample: Estimation with Confidence Intervals
Ch 7 Inferences Based on a Single Sample: Tests of Hypotheses
Ch 8 Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses
Ch 9 Design of Experiments and Analysis of Variance
Ch10 Categorical Data Analysis
Ch11 Simple Linear Regression
Ch12 Multiple Regression and Model Building
Ch13 Methods for Quality Improvement: Statistical Process Control (Available Online)
Ch14 Time Series: Descriptive Analyses, Models, and Forecasting (Available Online)
Ch15 Nonparametric Statistics (Available Online)
Ch 2 Methods for Describing Sets of Data
Ch 3 Probability
Ch 4 Random Variables and Probability Distributions
Ch 5 Sampling Distributions
Ch 6 Inferences Based on a Single Sample: Estimation with Confidence Intervals
Ch 7 Inferences Based on a Single Sample: Tests of Hypotheses
Ch 8 Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses
Ch 9 Design of Experiments and Analysis of Variance
Ch10 Categorical Data Analysis
Ch11 Simple Linear Regression
Ch12 Multiple Regression and Model Building
Ch13 Methods for Quality Improvement: Statistical Process Control (Available Online)
Ch14 Time Series: Descriptive Analyses, Models, and Forecasting (Available Online)
Ch15 Nonparametric Statistics (Available Online)
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