A company produces and sells two different products. The demand for each product is unlimited, but the company is constrained by cash availability and machine capacity. Each unit of the first and second product requires 3 and 4 machine hours, respectively. There are 20,000 machine hours available in the current production period. The production costs are $3 and $2 per unit of the first and second product, respectively. The selling prices of the first and the second product are $6 and $5.40 per unit, respectively. The available cash is $4.000; furthermore 45% of the sales revenues from the first product and 30% of the sales revenues from the second product will be made available to finance operations during the current period. (a) Formulate a linear programming problem that aims at maximizing net income subject to the cash availability and machine capacity limitations. Recall that the net income is the sales revenue minus the production cost.
(b) Solve the problem graphically to obtain an optimal solution.
(c) Suppose that the company could increase its available machine hours by 2,000, after spending $400 for certain repairs. Should the investment be made?

Job a3b was ordered by a customer on september 25. during the month of september, jaycee corporation requisitioned $2,400 of direct materials and used $3,900 of direct labor. the job was not finished by the end of the month, but needed an additional $2,900 of direct materials in october and additional direct labor of $6,400 to finish the job. the company applies overhead at the end of each month at a rate of 100% of the direct labor cost. what is the amount of job costs added to work in process inventory during october?

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.)

During january 2018, the following transactions occur: january 1 purchase equipment for $20,600. the company estimates a residual value of $2,600 and a five-year service life. january 4 pay cash on accounts payable, $10,600. january 8 purchase additional inventory on account, $93,900. january 15 receive cash on accounts receivable, $23,100 january 19 pay cash for salaries, $30,900. january 28 pay cash for january utilities, $17,600. january 30 firework sales for january total $231,000. all of these sales are on account. the cost of the units sold is $120,500. the following information is available on january 31, 2018. depreciation on the equipment for the month of january is calculated using the straight-line method. the company estimates future uncollectible accounts. at the end of january, considering the total ending balance of the accounts receivable account as shown on the general ledger tab, $4,100 is now past due (older than 90 days), while the remainder of the balance is current (less than 90 days old). the company estimates that 50% of the past due balance will be uncollectible and only 3% of the current balance will become uncollectible. record the estimated bad debt expense. accrued interest revenue on notes receivable for january. unpaid salaries at the end of january are $33,700. accrued income taxes at the end of january are $10,100