Statistics plays a vital role in biomedical research. It helps present data precisely and draws the meaningful conclusions. While presenting data, one should be aware of using adequate statistical measures. In biomedical journals, Standard Error of Mean (SEM) and Standard Deviation (SD) are used interchangeably to express the variability; though they measure different parameters. SEM quantifies...

results higher levels of stress were due to the fear of being infected by hiv and hepatitis patients with mean of 3.2 and 58%; and lack of weekends with mean of 3 and 44%. the lowest levels of stress were related to inadequate skills with mean of 2.18 and 32%, and environment light with mean of 2.14 and 34.7%. stress was significantly related to job status, conflict of doctors and nurses as wel...

Introduction: There are significant gender differences in the epidemiology and presentation of cardiovascular diseases (CVDs), physiological aspects of CVDs, response to diagnostic tests or interventions, and prevalence or incidence of the associated risk factors. Considering the independent influence of gender on early dire consequences of such diseases, this study was conducted to investigate...

conclusions performing quality improvement pattern such as organization’s excellence plan improves organizational climate of healthcare sectors, it can reduce nurses’ intentions to leave and retain human resources. background human resource is the most important factor of performance, success and better revelation of excellence goals of each organization. by performing excellence plan, healthca...

Descriptive statistics include measures of central tendency and variability. Measures of central tendency include mean, median, and mode. The mean is the arithmetic average of data from interval or ratio scales. The median reflects the 50th percentile score. The mode is the most frequently occurring value of a data distribution. Measures of variability include range, interquartile range, standa...