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We applied t tests to examine these temporal variations and determined that no variations were statistically significant.
I conduct several additional tests to examine the robustness of my results also because StB shows no association with ETR.
This paper presents tests to examine the influence of these factors on this additional capacity.
We also ran a series of performance tests to examine the I/O throughput in a massively parallel scenario.
Using the system, we developed active avoidance tests to examine the effects of trial spacing and aging on learning.
Before making any interpretations on the basis of our analyses, we performed a series of tests to examine the sensitivity of the model.
We use the Levene and Brown-Forsythe tests to examine the joint null hypothesis that variances are equal across days of the week.
Suggested tests here are to use the Knox and Mantel tests to examine the interactions between licensed premises and the MCC hot spots identified.
We also used permutation tests to examine whether the observed results from some specific tests were significantly different from a random result.
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We also used t-tests to examine whether our two categorical individual differences (gender, video gaming experience) were related to navigation behavior.
As a result, we compared those participants included to those excluded using χ2 tests and t-tests to examine differences in our demographic and pretest variables.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com