Market is about influencing mindsets of people so that the market share increases.
This hypothesis calls for a measure of difference between variables. It’s like carrying out a research on income levels per gender and then running analysis to try to understand the difference in means income between males and females.
The research uses secondary data and not primary data. The research attributes are sub-divided into non-overlapping sub-groups, factors, which area analyzed and presented together for a better understanding of the topical issue. The use of primary data is always encouraged as it results into tangible results which can be used to develop binging decisions unlike the secondary data. However, secondary data might be used in cases where the research study is not a new phenomenon and a researcher wants to build on assertions by other writers. The hypothesis developed and the research objectives are hand in hand. The use of data to influence mindsets so as to ensure proper understanding of migration benefits.
Data collection was done by compiling the information from reports. The best thing for this research study to attain the required scientific rigor would have been to collect the data using any of the research tools i.e. questionnaire, interview or observations. But in this case, collecting information would have been expensive and may be it was not factored in the research study budget.
The best method to sample the population would have been stratified random sampling where the population would be sub-divided into non-overlapping sub-groups. And then do a random sample from each stratum. This would be applied since the population being targeted is not homogenous but heterogeneous. A simple random sampling could only be used in case the population had the same traits.
The results from this analysis could be used to centrally to explain the formulated hypothesis since the data represents the real situation and also since the data has both