, 25.11.2019 23:31 keshewar2671

# Consider coin toss experiment using bayesian analysis with beta prior: g(e) = tr)「(s) where θ represents the probability o heads. in an experiment n con tosses res it n k heads. based on this experiment andus ng ba es theorem e os e ir rot abl density for 8 is given by n rs) a) (2pt) plot prior and posterior distributions for all 4 cases defined by the following values for parameters: (r, s) (1,1),4,4) & (n,,,11) b) (2pt) in each one of these 4 cases, determine the probability that the coin is biased towards heads (ie p(e> 0.5) (you can use beta distribution integration functionality of r)

### Another question on Mathematics

Mathematics, 21.06.2019 20:50
There are three bags: a (contains 2 white and 4 red balls), b (8 white, 4 red) and c (1 white 3 red). you select one ball at random from each bag, observe that exactly two are white, but forget which ball came from which bag. what is the probability that you selected a white ball from bag a?
Mathematics, 21.06.2019 21:30
Item 1 solve for s. s+24=90 −114 −66 66 114