Significance of Pearson Chi-Square test
The Pearson Chi-Square test is a statistical method utilized to assess the relationship between categorical variables and analyze differences in their frequencies. It helps determine significant associations, such as the link between knowledge and attitude among dental students, or the independence of variables like hearing loss and demographic factors. This test can also compare distributions among various groups, including health-promoting goods users versus non-users, and evaluate associations between smoking status and awareness of its effects.
Synonyms: Chi-square test, Goodness-of-fit test, Statistical test
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
The concept of Pearson Chi-Square test in scientific sources
The Pearson Chi-Square test is a statistical method that assesses the significant associations and relationships between categorical variables by analyzing differences in their frequencies.
From: The Malaysian Journal of Medical Sciences
(1) A statistical test used to determine the association between categorical variables in the study.[1] (2) A statistical test used to assess the association between knowledge and attitude among dental students.[2] (3) The Pearson chi-square test was applied to compare the distribution of categorical variables among health-promoting goods and services users and non-users.[3] (4) A statistical test used in the study to determine independence and associations between hearing loss and demographic factors.[4]