Data analysis is the process of examining information in order to identify relationships or patterns among variables and predict outcomes.

There are two types of data analysis; Qualitative and quantitative analysis. The qualitative analysis aims to give an in-depth understanding of underlying factors while quantitative analysis involves quantification of data so as to generalize and infer results.

The choice of data analysis tool depends on the scale of measurement of the data; whether nominal, ordinal interval or ratio. A nominal scale is used for labeling variables without any quantitative value. An ordinal scale places significance on the order of the values but not the difference between each one. An interval scale is where both the order and the exact difference between values are known. Finally, the ratio scale gives information on the order and exact differences between values and it also allows for a wide range of both descriptive and inferential statistics to be applied.

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