This book explains how both SAS and SPSS programs are working; and how the data should be input, process and analyse for each kind of analysis within each analysis subject. All procedures have been covered by examples that contained real numerical data and analysed step by step by using print screen function, in addition to explain and showing the outputs as numeric and curves; also the necessary equations and models have been reported for analysis methods in this book. Two reasons encouraged me to publish this book: First; the researchers and postgraduate students are needed such book to be analyzer and can efficiently analyse their experiment's data statistically. Second; to permit for the planners and statisticians discover more about analyzing the relationship between statistical variables via SAS and SPSS.
This book explains how both SAS and SPSS programs are working; and how the data should be input, process and analyse for each kind of analysis within each analysis subject. All procedures have been covered by examples that contained real numerical data and analysed step by step by using print screen function, in addition to explain and showing the outputs as numeric and curves; also the necessary equations and models have been reported for analysis methods in this book. Two reasons encouraged me to publish this book: First; the researchers and postgraduate students are needed such book to be analyzer and can efficiently analyse their experiment's data statistically. Second; to permit for the planners and statisticians discover more about analyzing the relationship between statistical variables via SAS and SPSS.
The aim of this textbook (previously titled SAS for Data Analytics) is to teach the use of SAS for statistical analysis of data for advanced undergraduate and graduate students in statistics, data...
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