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Within subjects correlation, chi-squared test for independence, and independent samples t-test were used to analyse the data.
Differences between groups were analysed using independent sample t-test and chi-square test for independence.
The relation between treatment modality and home discharge was analyzed by chi-square test for independence.
To test for independence between two variables based on observed response frequencies, we use chi-square tests.
The chi-square test for independence is commonly used to determine whether there is a significant association between the categorical variables (CVs) expressed in a contingency table.
Chi-squared test for independence was used to determine the relationship between categorical variables (Fisher's exact test used when values in any cell are <5).
This article presents a new diagnostic for distance to infinite buffer equilibrium and a new test for independence of failure repair processes are derived.
To test for independence, we conducted a Durbin-Watson test.
Whether the gender of the respondent influenced the choice was also tested by a χ2 test for independence.
†p-value from chi-squared test for independence.
Notes: P-value of χ2 test for independence.
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