A descriptive analysis of the continuous and categorical data was performed using proportions, frequency distributions, means, and standard deviations.
Physical capability measures are presented by 5 year age-group and sex using means (standard deviation, SD), medians (inter-quartile range, IQR) and proportions (frequency, %).
Intra-group analyses were performed to yield proportions, frequencies and percentages.
Proportions, frequencies, means, medians, SD and IQRs were obtained for each variable.
Means, proportions, frequencies, odds ratios and Chi square tests at 5% significant levels were generated using the software.
Participants were subsequently categorized into TEM- users and non-users; intra-group analysis yielded proportions, frequencies, and percentages while chi-square test was used for inter-group comparisons at P = 0.01, df = 1.
The proportions (frequencies) of patients reporting "improvement" and "worsening" for the absence of MCs, MC type I only, and MC type II only and presence of MCs (type I and II) are shown in Table 1.
Alternatively, balanced selection maintains a high proportion of frequency polymorphisms, thereby shifting the spectrum to the intermediate frequencies (Oleksyk et al. 2010).
I'm not saying easily done, as proportion and frequency still have to be right – but it is worth the effort.
First, we will present the quantitative part of the analysis by showing the proportion and frequency of the verbal processes.
