A hospital that carries no malpractice insurance has several outstanding malpractice claims, including one for $1.5 million. Hospital attorneys believe the claim can be settled in the range of $200,000 to $340,000, but negotiations have not reached the point where they can estimate where within that range they can reach agreement. How should the hospital handle this claim in its financial statements?

Kenney co. uses process costing to account for the production of canned energy drinks. direct materials are added at the beginning of the process and conversion costs are incurred uniformly throughout the process. equivalent units have been calculated to be 19,200 units for materials and 16,000 units for conversion costs. beginning inventory consisted of $11,200 in materials and $6,400 in conversion costs. april costs were $57,600 for materials and $64,000 for conversion costs. ending inventory still in process was 6,400 units (100% complete for materials, 50% for conversion). the total cost per unit using the weighted average method would be closest to:

The wall street journal reported that walmart stores inc. is planning to lay off 2,300 employees at its sam's club warehouse unit. approximately half of the layoffs will be hourly employees (the wall street journal, january 25-26, 2014). suppose the following data represent the percentage of hourly employees laid off for 15 sam's club stores. 55 56 44 43 44 56 60 62 57 45 36 38 50 69 65 (a) compute the mean and median percentage of hourly employees being laid off at these stores. (b) compute the first and third quartiles. (c) compute the range and interquartile range. (d) compute the variance and standard deviation. (e) do the data contain any outliers? (f) based on the sample data, does it appear that walmart is meeting its goal for reducing the number of hourly employees?

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]