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The three most common types of graphs used for quantitative data are histograms, box plots and scatter plots. Histograms and box plots are used for univariate data whereas scatter plots are used for bivariate data.

All graphs, diagrams and images should be titled as Figures. These will be numbered consecutively throughout the dissertation: Figure 1, Figure 2, Figure 3, and so on. After the numbering, there should be a short and concise title. Titles for figures appear below the figure itself.

A diagram which exhibits a simple analysis of statistical data in terms of percentages. The actual form of the diagram can vary; examples are the bar chart, the pie chart, the Circular diagram, the Histogram. A Statistical-Probabilistic Path.

Diagrams are an essential operational tool for the presentation of statistical data. They are objects, mainly geometrical figures such as lines, circles, bars, etc. Statistics elaborated with the help of diagrams make it easier and simpler, thereby enhancing the representation of any type of data.

Charts or diagrams give visual representations of the data. Diagrams also show comparisons between two or more sets of data. Diagrams should be clear and easy to read and understand. Too much information should not be shown in the same diagram otherwise it might become confusing.

The four basic graphs used in statistics include bar, line, histogram and pie charts.

The different types of diagrams used in statistics are line diagram, bar diagram, and pie chart. Bar diagrams can further be classified into simple bar diagrams, multiple bar diagrams and component or sub-divided bar diagrams.

The four most common are probably line graphs, bar graphs and histograms, pie charts, and Cartesian graphs. They are generally used for, and are best for, quite different things. You would use: Bar graphs to show numbers that are independent of each other.