simplify: data analysis occurs to answer the research questions or to see whether the hypothesis was true. Computer software may be utilised to assist in analysis of the data. In the qualitative approach, the analysis will begin almost immediately when data collection begins whereas in the quantitative approach, all data has to be collected first before the analysis begins. The other difference is that the qualitative data has a lot of narratives and there is no systematic rule for analysing it. The absence of systematic analytical procedures makes it difficult for researchers to argue the case for validity. The absence of universally well-defined procedures makes qualitative study difficult to be replicated. In the quantitative approach, statistical analysis enables researcher to reduce, summarise, organise and give meaning to the data. Descriptive statistics are used to describe the specific characteristics of the data, such as how many cases fall into a particular category of measurement, typical values and the degree of interrelationship or correlation among measurements. Examples of descriptive statistics include averages and frequencies