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- W2768228045 abstract "This study is an interdisciplinary application of soft computing through use of decision tree for solving the complex and intricate problem of determining the appropriate statistical method to analyze the collected data for hypothesis testing and describes how to select the appropriate statistical test for hypothesis testing in a research project. The methodology adopted is that the most commonly used statistical tests were identified through a selective literature review on the methodology of research publications of diverse and wide-ranging disciplines as well as statistical handbooks, dictionaries and based on them the basic factors to select the appropriate statistical test for hypothesis testing are formulated. Finally the formulated basic factors and observations are mapped using a decision tree for determining the appropriate statistical method to analyze the collected data or hypothesis testing. The study provides a decision tree for determining the appropriate statistical method for hypothesis testing." @default.
- W2768228045 created "2017-12-04" @default.
- W2768228045 creator A5055324038 @default.
- W2768228045 date "2017-11-25" @default.
- W2768228045 modified "2023-09-23" @default.
- W2768228045 title "The Use of Soft Computing Technique of Decision Tree in Selection of Appropriate Statistical Test For Hypothesis Testing" @default.
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- W2768228045 doi "https://doi.org/10.1007/978-981-10-5687-1_15" @default.
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