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Statistics

Bio-Statistics paper

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Bio-Statistics paper

The key feature of the data set is 32 observations included 34 male patients and 60 female patients. The average length of stay for male patients was 2 hours and the most extended body position change for male patients was 3 hours. Consequently, the shortest period of rest for male patients was 1 hour (Chair, Thompson & Li, 2007). Also, the average length of stay for female patients was hours, and most extended length of stay for female patients was four days. Hence, the shortest period of remain for female patients got analyzed to be 2 hours. Another characteristic of the Data set is the median of male patient length of visit, which was approximately 2 (Chair et al. 2007). In this case, the median of the female patient length of stay got established to be 3. According to the data obtainable from the 32 observations, the time of body position change for male patients is less than that for female patients.  The data graphs do not represent a normal distribution.  The tables represent a positive skew for both the male and female patients body change after transfemoral angiography.

The primary curb of using the data set is that the information obtained gets 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 some of the 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 data recorded cannot easily be ranked; hence it is hard 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 concerning the position of the patients after the transfemoral angiography. The other variable that is usable is the time, which shows the differences in exercise and operations.

 

VariablesDifference in Hoursp
Urinary retention9.800.001

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