Title: Assessing Guilt in Criminal Investigations using Conditional Probability: A Comparative Analysis of Probabilistic Models and Simulation Techniques

The research question: How can conditional probability be applied in criminal investigations to assess the likelihood of guilt based on evidence
Use these for tools but also add more:
-Compare different probabilistic models (like Bayesian networks or Markov chains) in assessing guilt. This could involve creating hypothetical scenarios and evaluating how each model processes the evidence to reach a conclusion.
-Use simulation techniques to model the progression of a criminal investigation. This could involve creating a series of hypothetical scenarios with varying degrees of evidence and suspect profiles, and then using conditional probability to assess the likelihood of guilt in each case.
-use hypothesis test also if possible
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