Data Analysis and Report Creation
Budget: $30 – $250 USD
Dataset Acquisition hypothesis questions
You will need to choose a dataset that is recommended or that you have created yourself. Once you have selected your data set, it is important to describe it and describe it using appropriate descriptive statistics.
Please note: you must apply inferential statistics and/or Bayesian statistics to draw conclusions about the population under consideration from the sample data, for example, by applying techniques introduced in the module such as confidence intervals or statistical tests
(t-Test, ANOVA, Spearman Correlation, etc). Your analysis must be non-trivial – for example, just applying descriptive statistics such as mean and standard deviation would not be sufficient. Descriptive statistics should however be used, as appropriate, to justify the choice of techniques.
Literature research:
Research existing research methods and background literature that examines and analyzes similar data sets. You should focus your research on a specific research question.
Design and Implement the Methodology:
Design and implement an appropriate methodology for your chosen data set. This methodology should include testing your research questions or hypotheses.
Presenting Analysis and Results:
Apply appropriate statistical methods for data analysis and present results in a descriptive manner. This should be done in report and power point format.
Report Writing:
Write a report in the format of a scientific paper, using the specified template. This report should have a title, abstract, introduction, related studies, methodology, results, conclusions section (must be in ieee format).
Slides and apendex
You will need to choose a dataset that is recommended or that you have created yourself. Once you have selected your data set, it is important to describe it and describe it using appropriate descriptive statistics.
Please note: you must apply inferential statistics and/or Bayesian statistics to draw conclusions about the population under consideration from the sample data, for example, by applying techniques introduced in the module such as confidence intervals or statistical tests
(t-Test, ANOVA, Spearman Correlation, etc). Your analysis must be non-trivial – for example, just applying descriptive statistics such as mean and standard deviation would not be sufficient. Descriptive statistics should however be used, as appropriate, to justify the choice of techniques.
Literature research:
Research existing research methods and background literature that examines and analyzes similar data sets. You should focus your research on a specific research question.
Design and Implement the Methodology:
Design and implement an appropriate methodology for your chosen data set. This methodology should include testing your research questions or hypotheses.
Presenting Analysis and Results:
Apply appropriate statistical methods for data analysis and present results in a descriptive manner. This should be done in report and power point format.
Report Writing:
Write a report in the format of a scientific paper, using the specified template. This report should have a title, abstract, introduction, related studies, methodology, results, conclusions section (must be in ieee format).
Slides and apendex