Descriptive statistics and normality tests for statistical data
نویسندگان
چکیده
منابع مشابه
normality tests for statistical analysis: a guide for non-statisticians
statistical errors are common in scientific literature and about 50% of the published articles have at least one error. the assumption of normality needs to be checked for many statistical procedures, namely parametric tests, because their validity depends on it. the aim of this commentary is to overview checking for normality in statistical analysis using spss.
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When reviewing articles in the literature, it is important to spend some time thinking specifically about the data presented. The data collected in an experiment may be classified into two general types. Continuous data represent data that vary over a continuous range and may be displayed on a curve, frequently a bell-shaped curve. Some examples of continuous data include height, age, and the t...
متن کاملNormality Tests for Statistical Analysis: A Guide for Non-Statisticians
Statistical errors are common in scientific literature and about 50% of the published articles have at least one error. The assumption of normality needs to be checked for many statistical procedures, namely parametric tests, because their validity depends on it. The aim of this commentary is to overview checking for normality in statistical analysis using SPSS.
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The article is devoted to normality assumption in statistical data analysis. It gives a short historical review of the development of scientific views on the normal law and its applications. It also briefly covers normality tests and analyzes possible consequences of using the normality assumption incorrectly.
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ژورنال
عنوان ژورنال: Annals of Cardiac Anaesthesia
سال: 2019
ISSN: 0971-9784
DOI: 10.4103/aca.aca_157_18