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## بسم الله الرحمن الرحيم

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**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 ? • 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.**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**Line Graph = Trend Line**• One quantitative variable & Time. • Time may be years, months, weeks, days, hours…) • No frequency distribution. • May be one or more quantitative variables bytime.**The Line Graph**Example:**The Line Graph**Figure (1) Crude birth rate of Country X 1997-2001**Histogram**• For quantitative continuous variables • S.F.D.T only**Example:**Age in Years Figure (2): Distribution of patients by age in Hospital X, 2011**Frequency Polygon**• Quantitative continuous variable • SFDT or Complex FDT**Frequency Polygon**• SFDT • Points are joined by straight line**Frequency Polygon**• Complex FDT • Points are joined by straight line**Example:**Frequency Polygon**Figure (3): Distribution of patients by age and sex in**Hospital X, 2012