## Discuss various research methodologies.

Display of data: tables & graphs

Quantitative data can be displayed in various ways such as in tables or in graphs. The display

of your data must always be clear and informative. Such tables and graphs often tend to

summarize your results in a viewer-friendly way. However, one must first know which table

or graph to use to best display the data. As previously taught, your choice of how to display

your data will considerably depend on the scale and measurement of your variables.

Frequency data can be arranged in Tables in which we can show frequency distribution of a

certain variable, for example frequencies of age categories. It is important to categorize in

mutually exclusive groups (i.e., categories that do not overlap). Note that all values need to

be included in the categories. Relative frequencies can be calculated, in which each frequency

is related to the whole sample. The total sum of all relative frequencies must be 100%. A Table

must always have a title to briefly and clearly explain the contents of the Table. Pay attention

to the rows and columns in a table in order to make sense of the numbers presented.

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