Beginning inventory for the month contained 2,000 units that were 70 percent complete with respect to materials. during the month, 60,000 units were completed and transferred out. ending inventory contained 3,000 units, 20 percent complete with respect to materials. the weighted average equivalent units of production for materials for the month would be

a. 60,600
b. 60,000
c. 63,000
d. 62,400

Braverman company has two manufacturing departments—finishing and fabrication. the predetermined overhead rates in finishing and fabrication are $18.00 per direct labor-hour and 110% of direct materials cost, respectively. the company’s direct labor wage rate is $16.00 per hour. the following information pertains to job 700: finishing fabrication direct materials $ 410 $ 60 direct labor $ 128 $ 48 required: 1. what is the total manufacturing cost assigned to job 700? 2. if job 700 consists of 15 units, what is the unit product cost for this job?

2. the language of price controls consider the market for rental cars. suppose that, in a competitive market without government regulations, the equilibrium price of rental cars is $58 per day, and employees at car rental companies earn $19.50 per hour. complete the following table by indicating whether each of the statements is an example of a price ceiling or a price floor and whether it results in a shortage or a surplus or has no effect on the price and quantity that prevail in the market. statement price control effect there are many teenagers who would like to work at car rental companies, but the minimum-wage law sets the hourly wage at $23.00. the government has instituted a legal minimum price of $87 per day for rental cars. the government prohibits car rental companies from renting out rental cars for more than $87 per day.

One question from a survey was "how many credit cards do you currently have? " the results of the survey are provided. complete parts (a) through (g) below. click the icon to view the survey results. (a) determine the mean number of credit cards based on the raw data. the mean is 3.113.11 credit cards. (type an integer or a decimal. do not round.) (b) determine the standard deviation number of credit cards based on the raw data. the standard deviation is 1.9111.911 credit cards. (round to three decimal places as needed.) (c) determine a probability distribution for the random variable, x, the number of credit cards issued to an individual. x (# of cards) p(x) x (# of cards) p(x) 1 0.280.28 6 nothing 2 nothing 7 nothing 3 nothing 8 nothing 4 nothing 9 nothing 5 nothing 10 nothing (type integers or decimals. do not round.)