Analysing data collected with descriptive statistics and advanced statistics

 Project Description

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).