Data Analysis Modelling - Probit Regression Model - R Programming Assignment Help

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R Programming Assignment Help

Task: Students are required to write and submit a notebook containing R codes to perform an exploratory data analysis and answer questions regarding Bayes’ Theorem, maximum likelihood estimation, Central Limit Theorem, Hypothesis test, prediction, and Monte Carlo sampling. The students might be required to participate in an interview in order to validate their assessment and ascertain academic integrity. Further information will be provided in the assessment description.  Instructions & Requirements A data set and a notebook are provided in this assessment. Students are required to perform an exploratory data analysis and answer questions regarding Bayes’ Theorem, maximum likelihood estimation, Central Limit Theorem, Hypothesis test, prediction, and Monte Carlo sampling. The following tasks are required:
  1. Make your data available by reading the data
  2. Perform tests as described in the notebook.
  3. You can add cells wherever you need to perform your analysis.
  4. Give enough explanations about important, strange, or interesting observations.
  5. Keep all your codes and explanations in the provided notebook.
Program Design and Requirements Jupyterhub has plenty of packages already installed. If you need a particular package installed, please contact the teaching team via Private Forum as soon as possible. Assessment Resources All resources you may need to complete this assessment item are available here (only accessible by Monash accounts).
  • You may need to review the FIT citation style tutorial to make sure you’re familiar with appropriate citing and referencing for this assessment.
  • Also, review the demystifying citing and referencing for help.
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