Module addresses the following aspects Model a decision sit

Module addresses the following aspects: Model a decision situation under risk using a decision tree and use this method to make the best-informed decision, Use Bayes’ Theorem to determine a posteriori decision probabilities.Case—instructions attached Set up a decision tree to model a decision under Risk.Use a decision tree model to determine the best alternative.Perform sensitivity analysis using a decision tree model.SLP—instructions attachedUse Bayes’ Theorem to determine a posteriori decision probabilities.Utilize a decision tree to model the value of information.Determine if the information from an expert is worth the cost.Develop a professional PowerPoint Presentation.Discussion—-instructions below (1 page)Do some research on recent trends in business analytics such as Google Analytics, cloud computing, artificial intelligence, machine learning and so on.Focus on one trend and discuss its relevancy to your business or any business you would like to discuss.Consider how these analytics tools would impact business decision making.Week 1: Provide your initial discussion post to the question. Be sure to include references to any resources you used. You should use at least one resource to help you with your initial discussion.

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