Analysis of baseline data using an ANOVA for parametric data and a Kruskal — Wallis test for
nonparametric data showed that all groups were equivalent on all sleep measures (i.e., time needed to fall asleep, number and length of night - time awakenings, total time asleep, fatigue level next day).
Not exact matches
We used an analytical approach that calculated Kendall's τ, a
nonparametric, robust correlation statistic for each gene in our
data set.
These scans, or snapshots, become
data points that could then be classified into categories of instructional practice and analyzed using descriptive and
nonparametric statistics.
For estimating the function (smoothed mean temperature series) and its derivatives, I prefer piecewise polynomial smoothing:
Nonparametric Regression Methods for Longitudinal
Data Analysis.
Bootstrapping is a
nonparametric approach to statistical inference that does not make a priori assumptions about a sampling distribution (e.g., does not necessitate a normal distribution of scores for a given variable), and empirically derives its sampling distribution from the study's
data [61].
The
data which were collected from the stated respondents were with several items and
nonparametric in nature while they have been converted into parametric by averaging them out.