Re: Is this enough information to make an inference?

My interpretation


A prior probabilities:
p(obese), p(infected)
Conditional
p(obese| virus)
p(obese and virus) / p(virus)



The OP says:

*** 1) The virus is a causal risk factor for obesity and that obesity is not a risk factor for catching the virus.***
Which s equivalent to
P(obese AND virus) = p(obese)*p(virus)
AS I WROTE.

For certain people I guessed is an hard problem: you cannot understand that this is a model (a crystallized reality). Its validity is not UNDER DISCUSSION (in what concerns the posted problem)
Nobody cares if reality is DIFFERENT: one must be restricted to what the question is.

Winsemius: It´s MANDATORY to read (and understand) what is proposed, what the conditions are we are not allowed to modify. NEVER.

The equation

p(obese| virus) = p(obese and virus) / p(virus)

iS A DEFINITION _________Winsemius.
A DEFINITION.

Luis Amaral Afonso
.

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