A data mining routine has been applied to a transaction dataset and has classified 88 records as fraudulent (30 correctly so) and 952 as nonfraudulent (920 correctly so). Construct the classification matrix and calculate the error rate. Classification Confusion MatrixPredicted ClassActual Class0 (nonfraudulent)1 (fraudulent)0 (nonfraudulent)1 (faudulent)The error rate is ? (up to 4 decimal places)

What is the eventual effect on real gdp if the government increases its purchases of goods and services by $80,000? assume the marginal propensity to consume (mpc) is 0.75. $ what is the eventual effect on real gdp if the government, instead of changing its spending, increases transfers by $80,000? assume the mpc has not changed. $ an increase in government transfers or taxes, as opposed to an increase in government purchases of goods and services, will result in an identical eventual effect on real gdp. a smaller eventual effect on real gdp. a larger eventual effect on real gdp. no change to real gdp.

Which of the following statements about brand names is true? brand names give the seller an incentive to provide consistently high-quality products and services in order to protect the reputation of the brand. brand names are always economically wasteful since they dupe consumers into buying more expensive goods and services that are no different from generic versions. it is always rational to prefer brand names over generic substitutes. read the following example and determine whether it illustrates a common critique or defense of advertising. musashi sees a commercial for a brand x clothing company that depicts the wearers of the clothes out having a good time with friends. although he doesn't particularly need new clothes, the commercial prompts him to buy a brand x t-shirt.

Using a cps-sample of 7,440 individuals, you estimate the following regression: = 20.91 - 2.61 x female where female is a binary variable that takes on the value of 1 for females and is 0 otherwise. the standard error on the coefficient on female is 0.25. the 95% confidence interval for the gender wage gap, or the amount that females earn less, is: a) [-3.10, -2.12] b) [18.30, 23.52] c) [-3.02, -2.20] d) [-1.96, -1.64]