Sampling Methods for Applied Research

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Bol An excellent introductory that uses simple numerical illustrations to provide an intuitive understanding of concepts and confirm major results. Describes various methods for sample selection and estimation including unequal probability sampling and the prediction approach. Sampling Methods for Applied Research is an applied, one semester introduction to sampling methods for nonmathematics majors. Not just a handbook of formulas, this text uses simple numerical illustrations to provide an intuitive understanding of concepts and to confirm major results. In addition to the standard methods of sample selection and estimation, the book covers unequal probability sampling and the prediction approach. An applied, one-semester introduction to sampling methods for non-mathematics majors that uses simple numerical illustrations to provide an intuitive understanding of concepts and confirm major results. The text describes various methods for sample selection and estimation including unequal probability sampling and the prediction approach. The accompanying disk contains data files for ten cases and two computer programs- one of which is an interactive DOS program designed to serve as a tutorial by assisting the implementation of sampling formulas. The book is intended primarily for upper-level undergraduate or graduate level students of business, government, health administration, economics, political science and other social sciences. It may also be used as a main or supplementary text in service courses on sampling offered by statistics and math departments.

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An excellent introductory that uses simple numerical illustrations to provide an intuitive understanding of concepts and confirm major results. Describes various methods for sample selection and estimation including unequal probability sampling and the prediction approach. Sampling Methods for Applied Research is an applied, one semester introduction to sampling methods for nonmathematics majors. Not just a handbook of formulas, this text uses simple numerical illustrations to provide an intuitive understanding of concepts and to confirm major results. In addition to the standard methods of sample selection and estimation, the book covers unequal probability sampling and the prediction approach. An applied, one-semester introduction to sampling methods for non-mathematics majors that uses simple numerical illustrations to provide an intuitive understanding of concepts and confirm major results. The text describes various methods for sample selection and estimation including unequal probability sampling and the prediction approach. The accompanying disk contains data files for ten cases and two computer programs- one of which is an interactive DOS program designed to serve as a tutorial by assisting the implementation of sampling formulas. The book is intended primarily for upper-level undergraduate or graduate level students of business, government, health administration, economics, political science and other social sciences. It may also be used as a main or supplementary text in service courses on sampling offered by statistics and math departments.


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