The return on the Rush Corporation in the state of recession is estimated to be -22% and the return on Rush in the state of boom is estimated to be 30%. The return on the Oberman Corporation in the state of recession is estimated to be 41% and the return on Oberman in the state of boom is estimated to be -18%. Given this information, what is the covariance between Rush and Oberman if there is a 0.70 probability that the economy will be in the state of boom and a 0.30 probability that the economy will be in the state of recession.

Presented below is a list of possible transactions. analyze the effect of the 18 transactions on the financial statement categories indicated. transactions assets liabilities owners’ equity net income 1. purchased inventory for $80,000 on account (assume perpetual system is used). 2. issued an $80,000 note payable in payment on account (see item 1 above). 3. recorded accrued interest on the note from item 2 above. 4. borrowed $100,000 from the bank by signing a 6-month, $112,000, zero-interest-bearing note. 5. recognized 4 months’ interest expense on the note from item 4 above. 6. recorded cash sales of $75,260, which includes 6% sales tax. 7. recorded wage expense of $35,000. the cash paid was $25,000; the difference was due to various amounts withheld. 8. recorded employer’s payroll taxes. 9. accrued accumulated vacation pay. 10. recorded an asset retirement obligation. 11. recorded bonuses due to employees. 12. recorded a contingent loss on a lawsuit that the company will probably lose. 13. accrued warranty expense (assume expense warranty approach). 14. paid warranty costs that were accrued in item 13 above. 15. recorded sales of product and related service-type warranties. 16. paid warranty costs under contracts from item 15 above. 17. recognized warranty revenue (see item 15 above). 18. recorded estimated liability for premium claims outstanding.

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

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?