iscuss and justify whether parametric or non-parametric test would be suitable for this data.Run the appropriate statistical test and discuss the results.

equirements:Your task is to select and apply statistical analysis techniques to examine the data and derive some conclusions to the following questions:1.Formulate a research question for this study.2.Select the appropriate data to conduct a statistical test to determine if there is a significant difference between 2 independent groups.•Describe and plot relevant data selected from the full dataset using an appropriate chart.•Formulate the appropriate hypotheses. •Discuss and justify whether parametric or non-parametric test would be suitable for this data.•Run the appropriate statistical test and discuss the results.3.Select the appropriate data to conduct a statistical test to determine if there is a significant difference between 2 dependent groups.•Describe and plot relevant data selected from the full dataset using an appropriate chart.•Formulate the appropriate hypotheses. •Discuss and justify whether parametric or non-parametric test would be suitable for this data.•Run the appropriate statistical test and discuss the results4.Select the appropriate data to conduct a statistical test to determine if there are significant differences between more than 2 independent groups.•Describe and plot relevant data selected from the full dataset using an appropriate chart.•Formulate the appropriate hypotheses. •Discuss and justify whether parametric or non-parametric test would be suitable for this data.•Run the appropriate statistical test and discuss the results.The output of your analysis will be a brief report (including title, abstract, brief introduction, results and discussion) in Springer’s Lecture Notes in Computer Science (LNCS) format. The report should be no more than 2,000 words length (note that the LNCS format has very wide margins) and should be submitted in PDF.Analysis Tool Advice:You may use any suitable tools for analysing the data. For instance, descriptive statistics can be produced by Excel, Python, R, and many other packages equally well, whereas Python and R support many non-parametric tests that Excel does not. You may need to do some data preparation in Excel in order to organize the data appropriately for the comparisons you wish to perform in another tool.