Significance of Descriptive statistical analysis
Descriptive statistical analysis is a statistical method employed to summarize and describe the characteristics of a dataset, such as in studies involving pregnant women's medication knowledge. It involves analyzing collected data to provide a summary of responses, often utilizing statistical software like SPSS. Additionally, this approach can be applied to summarize data regarding patient satisfaction and demographic distribution, enhancing understanding of various research aspects.
Synonyms: Descriptive statistics, Summary statistics, Exploratory analysis
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The concept of Descriptive statistical analysis in scientific sources
Descriptive statistical analysis summarizes and describes dataset characteristics, such as pregnant women's medication knowledge and patient satisfaction, aiding researchers in understanding demographic distributions effectively. It provides crucial insights from collected data in a study context.
From: The Malaysian Journal of Medical Sciences
(1) The process of summarizing the distribution of data, including the use of mean scores, standard deviations, percentages, and frequencies.[1] (2) A method used to analyze data collected, providing a summary of the responses, often using statistical software like SPSS.[2]