All private consumption in a nation's economy is part of this expenditures approach for calculating the gdp.

For a multistate lottery, the following probability distribution represents the cash prizes of the lottery with their corresponding probabilities. complete parts (a) through (c) below. x (cash prize, $) p(x) grand prizegrand prize 0.000000008860.00000000886 200,000 0.000000390.00000039 10,000 0.0000016950.000001695 100 0.0001582930.000158293 7 0.0039114060.003911406 4 0.0080465690.008046569 3 0.012865710.01286571 0 0.975015928140.97501592814 (a) if the grand prize is $13 comma 000 comma 00013,000,000, find and interpret the expected cash prize. if a ticket costs $1, what is your expected profit from one ticket? the expected cash prize is $nothing.

Eliminating entries (including goodwill impairment) and worksheets for various years on january 1, 2013, porter company purchased an 80% interest in the capital stock of salem company for$850,000. at that time, salem company had capital stock of $550,000 and retained earnings of $80,000.differences between the fair value and the book value of the identifiable assets of salem company were asfollows: fair value in excess of book valueequipment$130,000land65,000inventory40,000the book values of all other assets and liabilities of salem company were equal to their fair values onjanuary 1, 2013. the equipment had a remaining life of five years on january 1, 2013. the inventory was sold in2013.salem company’s net income and dividends declared in 2013 and 2014 were as follows: year 2013 net income of $100,000; dividends declared of $25,000year 2014 net income of $110,000; dividends declared of $35,000required: a.prepare a computation and allocation schedule for the difference between book value of equity acquired andthe value implied by the purchase price.b.present the eliminating/adjusting entries needed on the consolidated worksheet for the year endeddecember 31, 2013. (it is not necessary to prepare the worksheet.)lo6lo1

True or false: a fitted model with more predictors will necessarily have a lower training set error than a model with fewer predictors.