Analysing data collected with descriptive statistics and advanced statistics

Hi, For a study(that aims to compare regular entrepreneurs and social entrepreneurs), a questionnaire(Likert model) was conducted and data was collected. The job is to transform this data and analyse it. There are 3 models (based on theoretical studies) to analyse (Model 1, Model 2 and model 3). The job is to do: 1- Descriptive statistics(Tables, Graphs and diagram) for each model(Excel sheet "Model 1", "Model 2" and "Model 3"). Then doing descriptive statistics distinguishing "Regular" entrepreneur and "Social" entrepreneur (it means only selecting data that corresponds to regular entrepreneurs then data that corresponds to Social entrepreneur). 2- Once the descriptive statistics done, using an advanced test (or combinaison of few) such as chi-squared test, Mann–Whitney test, Wilcoxon signed-rank test, or Kruskal–Wallis test. Doing that for each model(Excel sheet "Model 1", "Model 2" and "Model 3"), then afterwards distinguishing "Regular" entrepreneur and "Social" entrepreneur (it means only selecting data that corresponds to regular entrepreneurs then data that corresponds to Social entrepreneur). Please find enclosed the Excel that contains the data collected for the 3 models and the 3 theoretical models we are trying to confront with analysis of data. Also, please find enclosed a document "example" where you can see an exemple of analysis(page 8).