The following monthly data are taken from Ramirez Company at July 31: Sales salaries, $200,000; Office salaries, $160,000; Federal income taxes withheld, $90,000; State income taxes withheld, $20,000; Social security taxes withheld, $22,320; Medicare taxes withheld, $5,220; Medical insurance premiums, $7,000; Life insurance premiums, $4,000; Union dues deducted, $1,000; and Salaries subject to unemployment taxes, $50,000. The employee pays 40% of medical and life insurance premiums. Assume that FICA taxes are identical to those on employees and that SUTA taxes are 5.4% and FUTA taxes are 0.6%.
Using the above information, Prepare the journal entries to record accrued payroll and cash payment of the net payroll for July 3.
Record the accrued employer payroll taxes and all other employer-paid expenses and the cash payment of all liabilities for July - assume that FICA taxes are identical to those on employees and that SUTA taxes are 5.4% and FUTA taxes are 0.6%

Alocal club is selling christmas trees and deciding how many to stock for the month of december. if demand is normally distributed with a mean of 100 and standard deviation of 20, trees have no salvage value at the end of the month, trees cost $20, and trees sell for $50 what is the service level?

Compare the sources of consumer credit 1. consumers use a prearranged loan using special checks 2. consumers use cards with no interest and non -revolving balances 3. consumers pay off debt and credit is automatically renewed 4. consumers take out a loan with a repayment date and have a specific purpose a. travel and entertainment credit b. revolving check credit c. closed-end credit d. revolving credit

Reliability and validity reliability and validity are two important considerations that must be made with any type of data collection. reliability refers to the ability to consistently produce a given result. in the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways. unfortunately, being consistent in measurement does not necessarily mean that you have measured something correctly. to illustrate this concept, consider a kitchen scale that would be used to measure the weight of cereal that you eat in the morning. if the scale is not properly calibrated, it may consistently under- or overestimate the amount of cereal that’s being measured. while the scale is highly reliable in producing consistent results (e.g., the same amount of cereal poured onto the scale produces the same reading each time), those results are incorrect. this is where validity comes into play. validity refers to the extent to which a given instrument or tool accurately measures what it’s supposed to measure. while any valid measure is by necessity reliable, the reverse is not necessarily true. researchers strive to use instruments that are both highly reliable and valid.