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Missing data: percentage?
When presenting data, percentage and standard deviation were used.
In addition, it needs 4 + 8 = 12 pixels data width to process the 4-pixel interpolation unit, and the valid data percentage is only 33%%.
Remember, this is normalized data (percentage from top spot, set at 100%), not actual dollars here, so what this means is that the middle class of apps – is also growing like crazy too, in terms of earning power.
Studies that presented original data with either accuracy data (percentage of estimations within 10% of actual weight (PW10)) or bias and precision data (mean percentage error plus an appropriate indicator of variance), or both, were included in the meta-analysis.
The Kruskal-Wallis test was used for multiple comparisons of ordinal data (percentage of subjects exercising equal to or more than three hours per week and percentage of subjects being daily smokers) while a one-way Analysis of Variance (ANOVA) was used for the other parameters.
Similar(31)
Prior to analysis, the dataset was analyzed for missing data (see Table 1 for variable level missing data percentages).
In the merged data, percentage-error was below 30% after 1 h, 2 h, 4 h and 8 h, and exceeded 30% only after 6 h.
In our merged data, percentage-error was below 30% within the first 4 hours and after 8 hours and exceeded 30% only after 6 hours.
For dichotomous data, percentages were calculated.
For dichotomous data, percentages were calculated and were compared using Fisher's exact test.
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