Identifying people who might have the desire and ability to buy is called . A. prospecting
B. order taking
C. approaching
D. closing

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.

When sending a claim to an insurance company for services provided by the physician, why are both icd-10 and cpt codes required to be submitted? how are these codes dependent upon each other? what would be the result of not submitting both codes on a medical claim to an insurance company?

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]