Massillon Company manufactures two models (X100 and Z300) of its product. Its departmental overhead rates have been determined as follows: $50.00 per MH in the machining department and $15 per DLH in the assembly department. Each unit of the X100 model requires 15 MH and 5 DLH. Each unit of the Z300 model requires 25 MH and 10 DLH. The company expects to manufacture 1,000 units of its X100 model and 500 units of its Z300 model. The per unit overhead costs assigned to the X100 model and Z300 model, respectively, are:

a. $1,400 and $825.
b. $900 and $1,325.
c. $825,000 and $700,000.
d. $825 and $1,400.

Tara incorporates her sole proprietorship, transferring it to newly formed black corporation. the assets transferred have an adjusted basis of $240,000 and a fair market value of $300,000. also transferred was $10,000 in liabilities, $1,000 of which was personal and the balance of $9,000 being business related. in return for these transfers, tara receives all of the stock in black corporation. a. black corporation has a basis of $241,000 in the property. b. black corporation has a basis of $240,000 in the property. c. tara’s basis in the black corporation stock is $241,000. d. tara’s basis in the black corporation stock is $249,000. e. none of the above.

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.

What so u want to be when u grow up?