You are a manager in a large information systems consulting company, managing 10 employees in Reno, who each worked 50 weeks, 40 hours per week, (or a total of 2000 hours) in 2019. You want to better understand how your employees spent their time in the calendar year 1/1/19-12/31/19. Specifically, you want to be able to calculate the following: 1. How much time each employee spent on a series of 3 special projects during 2019?
2. What percentage of total hours worked was on special projects and on regular hours in 2019?
3. How many years they have worked for the company?

Quantitative problem: you need $20,000 to purchase a used car. your wealthy uncle is willing to lend you the money as an amortized loan. he would like you to make annual payments for 4 years, with the first payment to be made one year from today. he requires a 8% annual return. what will be your annual loan payments? round your answer to the nearest cent. do not round intermediate calculations. $ how much of your first payment will be applied to interest and to principal repayment? round your answer to the nearest cent. do not round intermediate calculations. interest: $ principal repayment

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.

On january 2, 2018, bering co. disposes of a machine costing $34,100 with accumulated depreciation of $18,369. prepare the entries to record the disposal under each of the following separate assumptions. exercise 8-24a part 2 2. the machine is traded in for a newer machine having a $50,600 cash price. a $16,238 trade-in allowance is received, and the balance is paid in cash. assume the asset exchange has commercial substance.