Cauchy sampling model suppose one observes a random sample from a cauchy density with location θ and scale parameter 1. if a uniform prior is placed on θ, then the posterior density is given (up to a proportionality constant) by i=1 suppose one observes the data 0, 10, 9, 8, 11, 3, 3, 8, 8, 11. a) using the r command seq, set up a grid of values of θ from −2 to 12 in steps of 0.1. b) compute the posterior density on this grid. c) plot the density and comment on its main features. d) compute the posterior mean and posterior standard deviation of θ.

In a sample of 200 residents of georgetown county, 120 reported they believed the county real estate taxes were too high. develop a 95 percent confidence interval for the proportion of residents who believe the tax rate is too high. (round your answers to 3 decimal places.) confidence interval for the proportion of residents is up to . would it be reasonable to conclude that the majority of the taxpayers feel that the taxes are too high?

Marco is studying a type of mold that grows at a fast rate. he created the function f(x) = 345(1.30)x to model the number of mold spores per week. what does the 1.30 represent? how many mold spores are there after 4 weeks? round your answer to the nearest whole number. 1.30 represents the number of mold spores marco had at the beginning of the study; 985 mold spores 1.30 represents the number of mold spores grown in a given week; 448 mold spores 1.30 represents the 30% rate of weekly growth; 345 mold spores 1.30 represents the 30% rate of weekly growth; 985 mold spores

Which shows the correct lengths of side c in both scales? scale 1: 45 m; scale 2: 60 m scale 1: 60 m; scale 2: 45 m scale 1: 36 m; scale 2: 27 m scale 1: 27 m; scale 2: 36 m mark this and return save and exit