30 - Normal prior and likelihood - known variance

Provides an introduction to the example which will be used to describe inference for the case of a normal likelihood, with known variance, and a normal prior distribution.
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[@Scott_Raynor]

So the likelihood distribution is just the recently measured mean and variance values?

[@guestimator121]

uhm, what kind of a college is that where people have a IQ 60 on average? :-)

[@nickt6201]

You would be suprised

[@mashhoodahmad6101]

Dear Sir what is theta , and what is theta ~( )

[@rolfjohansen5376]

know variance, but to you know the mean?

[@lemyul]

thanks edu

[@lemyul]

manzano