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Neil A. Weiss does a thorough job of presenting students with a helpful resource in his text Introductory Statistics (9th Edition), ISBN 9780321691224. This book is directed toward introductory statistics classes that emphasize statistical reasoning and critical thinking and is appropriate for a both one- or two-semester courses. An all-inclusive yet...
Neil A. Weiss does a thorough job of presenting students with a helpful resource in his text Introductory Statistics (9th Edition), ISBN 9780321691224. This book is directed toward introductory statistics classes that emphasize statistical reasoning and critical thinking and is appropriate for a both one- or two-semester courses. An all-inclusive yet easy-to-understand approach provides students with vigilant, exhaustive descriptions of foundational statistical principles. Over 1,000 data sets and 2,600 exercises are offered for student application in an attempt to guide them to mastery of concepts while providing insight into analysis of data. Neil A. Weiss utilizes strong organizational methods in his book Introductory Statistics (9th Edition) incorporating six sections, 16 chapters, as well as modules for application and extensive appendices. Part I of this text serves as a thorough 'Introduction' with a chapter devoted to the nature of statistics. Part II presents information surrounding 'Descriptive Statistics' with chapters discussing organizing data and descriptive measures. 'Probability, Random Variables, and Sampling Distributions' is the focus of part III with time devoted to probability concepts, discrete random variables, normal distribution, and sampling distribution of the sample mean. Part IV investigates 'Inferential Statistics' with chapters looking at confidence intervals and hypothesis tests for one population mean, inferences for two population means, population standard deviations, and population procedures, as well as chi-square procedures. Part V is devoted to 'Regression, Correlation, and ANOVA.' These chapters present information on descriptive and inferential methods in regression and correlation and analysis of variance. Part VI provides three modules under the umbrella of 'Multiple Regression and Model Building; Experimental Design and ANOVA). This text concludes with helpful appendices.
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