relative arithmetical analysis
The data can get described as interval dataset, which encompasses the analysis and measure of scales analyzed in the clinical practices. It is by navigating through the differences of hours and percentages of the exercise with the variables required for analysis (Chair, Thompson & Li, 2007). The dataset has several features, such as measurements and interval differences. The measures used in the study is to show the period taken in the exercises, while interval difference analyzes the difference in time in hours concerning the position. The other feature that can help describe the data is a calculation (Chair et al., 2007). It shows the values of areas in the exercise and explanations get given concerning the relative arithmetical analysis.
The primary curb of using the data set is that the information obtained get limited as they provide a measurable description. The assessment process of the patient that deals with questionnaires may provide a bias and false representation of data (Valiee et al., 2016). The data analysis is limited to accuracy as information gets approximated such as time analysis, which provides wrong presentations. The other limitation, in this case, is that the data collects a narrower dataset which is insignificant when it comes to applying the method (Valiee et al., 2016). Also, the other limitation is that the data recorded can not easily be ranked; hence it is had for an individual to grade the results accordingly (Chair et al., 2007).
The usable variable, in this case, gets based on urinary retention where different hours got analyzed for the position of the patients after the transfemoral angiography. The other variable that is usable is the time which shows the differences in the exercise and operations.