The goal is to determine whether the data Ellie gathers can be used to predict mental-health difficulties.
A looming statutory deadline requires rushing census data to the states beginning next week, and it limited the time that a panel of bureau experts had to analyze the results from the sample and determine whether the data would, in fact, make the census more accurate.
We used the Kolmogorov-Smirnov Test to determine whether the data were normally distributed.
The probability coordinate paper method [18] is employed to determine whether the data are satisfied to Weibull distribution.
We included two interactive features to let researchers query the data, explore hypotheses, and quickly determine whether the data support those hypotheses.
This would help determine whether the data they gathered has medical importance or not, rather than relying on testing SHIP after it is constructed.
Kaiser-Meyer-Olkin measure of sampling adequacy and Bartlett's Test of Sphericity were run in SPSS17.0, in order to determine whether the data proved suitable for factor analysis.
An alternative approach is designed to determine whether the data packets need a split in order to shorten the operation time.
The fundamental idea of the multi-dimensional normalization map is that to map a measured series of feature data into a multi-dimensional space and to determine whether the data is located in that range.
Our experiments with the visualization demonstrated that using these two features in tandem, a researcher could test for a hypothesized spatiotemporal behavioral pattern and visually determine whether the data support that behavior [29].
The Shapiro-Wilk test was assessed to determine whether the data had normal distribution; when there was normality, results were compared using paired sample t test, and when there was no normality, the Wilcoxon signed-rank test was performed.
