| BIOSTATISTICS |
|
| Year : 2018 | Volume
: 4
| Issue : 1 | Page : 60-63 |
|
|
Descriptive statistics
Parampreet Kaur1, Jill Stoltzfus2, Vikas Yellapu1
1 Department of Research and Innovation, The Research Institute, St. Luke's University Health Network, Bethlehem, PA 18015, USA
2 Department of Research and Innovation, The Research Institute, St. Luke's University Health Network; Temple University School of Medicine, Bethlehem, PA 18015, USA
Correspondence Address:
Dr. Parampreet Kaur
St. Luke's University Health Network, 801 Ostrum Street, Bethlehem, PA 18015
USA
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/IJAM.IJAM_7_18
|
|
|
Descriptive statistics are used to summarize data in an organized manner by describing the relationship between variables in a sample or population. Calculating descriptive statistics represents a vital first step when conducting research and should always occur before making inferential statistical comparisons. Descriptive statistics include types of variables (nominal, ordinal, interval, and ratio) as well as measures of frequency, central tendency, dispersion/variation, and position. Since descriptive statistics condense data into a simpler summary, they enable health-care decision-makers to assess specific populations in a more manageable form.
The following core competencies are addressed in this article: Practice-based learning and improvement, Medical knowledge.
|
|
|
|
| [FULL TEXT] [PDF]* |
|
 |
|
