Week 9 Probability and Confidence Level Flashcards
what is the subjective probability equation
P(theory I result) = P(result I theory)P(theory) / P(result)
what interpretation can be made from the subjective probability
Similarly if the result is predicted to be unlikely/forbidden by a theory then its observation reduces the degree of belief in the theory and if a result is predicted highly likely then it increases the degree of belief in a theory
what can be done if we want to know the true value of a parameter μ having made a measurement with result x and resolution σ
construct a confidence belt
what is the procedure for constructing a confidence belt
for a given parameter μ there is a probability distribution function for the measured value x
use this function to construct a confidence belt within an interval of this function
what interpretation can be made from a 90% interval confidence belt for μ
the true value of μ has values between μ- and μ+ with 90% probability
how do we make confidence belts for Gaussians with constant mean and standard deviation
the x- and x+ interval values are constant so become straight lines and the μ are obtained via the equation
μ-+ = x -+ nσ
what do we need to do for constructing confidence belts for Poisson distributions
find the greatest value of N_ that satisfies a given value of λ