One of your customers buys a new issue municipal revenue bond on March 19. The trade settles on March 21, and the bond pays interest on February 1 and August 1. If the dated date of the bond is March 1, how many days of accrued interest are due

Price and efficiency variances, journal entries. the schuyler corporation manufactures lamps. it has set up the following standards per finished unit for direct materials and direct manufacturing labor: direct materials: 10 lb. at $4.50 per lb. $45.00 direct manufacturing labor: 0.5 hour at $30 per hour 15.00 the number of finished units budgeted for january 2017 was 10,000; 9,850 units were actually produced. actual results in january 2017 were as follows: direct materials: 98,055 lb. used direct manufacturing labor: 4,900 hours $154,350 assume that there was no beginning inventory of either direct materials or finished units. during the month, materials purchased amounted to 100,000 lb., at a total cost of $465,000. input price variances are isolated upon purchase. input-efficiency variances are isolated at the time of usage. 1. compute the january 2017 price and efficiency variances of direct materials and direct manufacturing labor. 2. prepare journal entries to record the variances in requirement 1. 3. comment on the january 2017 price and efficiency variances of schuyler corporation. 4. why might schuyler calculate direct materials price variances and direct materials efficiency variances with reference to different points in time

The silverside company is considering investing in two alternative projects: project 1 project 2 investment $500,000 $240,000 useful life (years) 8 7 estimated annual net cash inflows for useful life $120,000 $40,000 residual value $32,000 $10,000 depreciation method straightminusline straightminusline required rate of return 11% 8% what is the accounting rate of return for project 2? (round any intermediary calculations to the nearest dollar, and round your final answer to the nearest hundredth of a percent, x.xx%.)

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]