Burr, inc. provided the following information: july august projected sales $220,000 $260,000 projected merchandise purchases $150,000 $180,000 • burr estimates that it will collect 40% of its sales in the month of sale, 35% in the month after the sale, and 22% in the second month following the sale. three percent of all sales are estimated to be bad debts. • burr pays 30% of merchandise purchases in the month purchased and 70% in the following month. • general operating expenses are budgeted to be $20,000 per month of which depreciation is $2,000 of this amount. burr pays operating expenses in the month incurred. • burr makes loan payments of $3,000 per month of which $400 is interest and the remainder is principal. calculate burr's budgeted cash disbursements for august.

How many months does the federal budget usually take to prepare

1. what are the unique operational challenges to delivering fresh meals? 2. why is speed of delivery so important for delivered meals? what variety of options contribute to this performance metric? 3. how could operations management concepts be utilized to improve the performance of freshly? 4. what are your typical product delivery times? what would be required to speed these up? 5. what are your delivery batch quantities? how could you reduce batch size and reduce delivery cost simultaneously using operations management concepts?

Monthly price data for mdltx and ekwax from yahoo finance is contained in the excel spreadsheet for this exercise. there are 37 months of price data for the period from september 2009 to september 2012. (note: these prices already incorporate dividend payments.) the 36 monthly returns for each fund are also provided. calculate average (arithmetic) monthly return and standard deviation for each fund. you can use the excel functions average, stdev to derive these stats. annualize these statistics. use the correl function in excel to derive the correlation coefficient between the two sets of returns. (annual correlation is the same as monthly correlation. hence, no need to annualize this stat.) using the annualized statistics derived in step 1, compute the expected return and standard deviation for portfolios containing from 0% to 100% mdltx (and 100% to 0% ekwax) by 10% increments. graph the resulting portfolios. based on your analysis, is there any potential benefit to diversification across these two funds? explain. of the 11 portfolios you graphed, which are efficient?