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. 2021 Oct 19;5(10):e29160. doi: 10.2196/29160

Table 7.

Kruskal-Wallis tests for significant differences between sensor readings, including low- and high-scoring samples for both on- and off-campus students.

Sensor New use? Sample, n Chi-square (df) P value


On campus Off campus


Low scoring High scoring Low scoring High scoring

Plugged-in flag No 14 53 28 14 32.3 (3) <.001
Battery level No 20 91 28 18 3.9 (3) .27
User CPUa time Yesb 34 103 44 48 0.9 (3) .82
Idle CPU time Yes 34 103 44 48 7.3 (3) .06
Total CPU time Yes 34 103 44 48 4.5 (3) .22
User CPU percentage Yes 34 94 37 42 18.1 (3) <.001
User idle percentage Yes 34 94 37 42 17.7 (3) <.001
Available RAM Yes 34 103 44 48 7.0 (3) .07
System uptime No 34 103 44 48 63.7 (3) <.001
Uptime with sleep No 34 103 44 48 68.9 (3) <.001
Pedometer step count No 19 20 28 34 1.9 (3) .59
Pedometer distance No 22 23 28 34 0.7 (3) .88
Pedometer floors up No 22 23 28 34 2.9 (3) .41
Pedometer floors down No 22 23 28 34 2.1 (3) .55
Pedometer 2 step count No N/Ac N/A 13 N/A 2.2 (3) .33
App use time Yes 34 103 44 48 42.3 (3) .001
Survey time to complete Yes 34 103 44 48 30.4 (3) .001
Resource panel time Yes 34 103 44 48 1.2 (3) .75

aCPU: central processing unit.

bAnything marked with “Yes” was, to the best of the author’s knowledge in 2020, a new use of this sensor for this type of work.

cN/A: not applicable.