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Aggregate data from all student groups is then summarily analyzed per catalyst type.
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The total size of data from all the students is around 28 GB.
We also looked at data from all students intercalating, not only those doing one intercalated option [ 11].
For cross-sectional analyses at pre-test and post-test, data from all students who returned their questionnaire were included.
Results were gathered over three consecutive academic years, to allow data from all the participating students to be collected.
In order to test for significance of these results, grade data for all students from the 2013/2014 year (which is representative of the average GPA of the past 5 years) were compared to data for the 2014/2015 year using an independent samples t test, which showed a significant difference in the average GPAs between the two sample years (p < 0.001).
More detailed data for all students are available from New York State at www.nysed.gov.gov
However, we collected data from all consenting students from within the selected grades and schools.
The original data from all consenting students were included in this analysis, and nonparametric tests were used.
To best represent the range of students who have taken the URSSA, we created a sample drawn randomly from demographic blocks of data of all students who took the survey from 2010 to 2014.
Fig. 3 Mean population fitness as a function of generation in experiment 2. Fitness is calculated as the match with a template and ranges from 0 to 5. The figure shows all data from the student labs (34 trials).
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