1. What is dependent and independent event. 2. What is the relevance of Bayes theorem in...

1. What is dependent and independent event.

2. What is the relevance of Bayes theorem in posterior probability?

3. what is the difference between discrete and continuous probability distributions?

Expert Solution

orchestra answered 2 years ago

4. Bayes Theorem - One way of thinking about Bayes theorem is that it converts a-priori...

4. Bayes Theorem - One way of thinking about Bayes theorem is that it converts a-priori probability to a-posteriori probability meaning that the probability of an event gets changed based upon actual observation or upon experimental data. Suppose you know that there are two plants that produce helicopter doors: Plant 1 produces 1000 helicopter doors per day and Plant 2 produces 4000 helicopter doors per day. The overall percentage of defective helicopter doors is 0.01%, and of all defective helicopter...

4. Bayes Theorem - One way of thinking about Bayes theorem is that it converts a-priori...

4. Bayes Theorem - One way of thinking about Bayes theorem is that it converts a-priori probability to a-posteriori probability meaning that the probability of an event gets changed based upon actual observation or upon experimental data. Suppose you know that there are two plants that produce helicopter doors: Plant 1 produces 1000 helicopter doors per day and Plant 2 produces 4000 helicopter doors per day. The overall percentage of defective helicopter doors is 0.01%, and of all defective helicopter...

When is the Bayes' rule (not the Bayes' theorem) optimal? Explain the meaning of that by...

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1. What is the dependent and independent variable? 2. What conclusion about the relationship can be...

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1. What is dependent and independent event. 2. What is the relevance of Bayes theorem in...

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4. Bayes Theorem - One way of thinking about Bayes theorem is that it converts a-priori...

4. Bayes Theorem - One way of thinking about Bayes theorem is that it converts a-priori...

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