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The hypothesis has been tested by student t test using R statistical software: R version 3.2.2 (2015-08-14), Platform: x86_64-w64-mingw32/x64 (64-bit) to determine whether an observed difference between the means of the groups is statistically significant or not, based on the treatment efficiency of the filter materials.
The differences between groups for the continuous variable, age, was tested by student's t test.
a Scores range from 0 to 100, higher scores represent a better HRQOL Differences tested by student's unpaired t-test.
a Scores range from 0 to 100, higher scores represent a better HRQOL Differences tested by student's unpaired t-test bEffect size This study assessed the data quality and psychometric properties of the DCGM-37 in a sample of Swedish school-aged children receiving treatment for cancer.
To verify this, seven DSTs were selected and tested by fourteen students enrolled in a graduate-level architecture design studio.
The age intervals in between are considered critical according to three criteria, tested by respectively Students' t-tests, multiple linear regression analyses and Pearson's correlation tests.
The significance among means was tested by the Student-Newman-Keuls test at alpha = 0.01 or 0.05.
Statistical significance was tested by a student t test with p<0.01 (n = 30).
Differences in continuous variables were tested by the student's t-test.
Comparing numerical variables with assumed equal variances and different variances tested by t student and mann-withney respectively.
The statistical significance of the determined signals was tested by unpaired student's t-test with a false discovery rate of 5%.
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