1 / 15

بسم الله الرحمن الرحيم

بسم الله الرحمن الرحيم. Graphical Presentation. Dr. Laila Mohamed Nofal Professor of Biostatistics High Institute of Public Health University of Alexandria. Graphical Presentation. Graphical presentation is the use of a graph to show the distribution of data. Why ?.

nika
Download Presentation

بسم الله الرحمن الرحيم

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. بسم الله الرحمن الرحيم

  2. Graphical Presentation Dr. Laila Mohamed Nofal Professor of Biostatistics High Institute of Public Health University of Alexandria

  3. Graphical Presentation Graphical presentation is the use of a graph to show the distribution of data. Why ? • Attract the reader’s attention • A graph or diagram, provides an easily understood picture of the data. A suitable diagram is easier to grasp and leaves a more permanent impression of the main features of the data • To compare two or more distributions.

  4. There are many varieties of graphs. The use of a particular type depends on: Type of data (quantitative continuous or discrete or qualitative) Type of table (simple or complex) Graphical Presentation

  5. Histogram • For quantitative continuous variables • S.F.D.T only

  6. Example:

  7. Age in Years Distribution of patients by age in Hospital X, 2012

  8. Frequency Polygon • Quantitative continuous variable • SFDT or Complex FDT

  9. Distribution of a group of patients by age

  10. Distribution of a group of patients by age

  11. Example: Frequency Polygon

  12. Figure (3): Distribution of patients by age and sex in Hospital X, 2012

  13. Frequency Curve • Quantitative continuous variable • SFDT or Complex FDT • Points are joined by a smooth curve • The more the number of points (categories) the more smooth will be the curve

  14. Distribution of malaria cases by age

More Related