The two-year interest rate is 10% and the expected annual inflation rate is 5%.
a. what is the expected real interest rate?

Savvy sightseeing had beginning equity of $90,000; revenues of $144,000, expenses of $83,000, and dividends to stockholders of $10,800. there were no stockholder investments during the year. calculate ending equity.

On june 1, 2017, blossom company was started with an initial investment in the company of $22,360 cash. here are the assets, liabilities, and common stock of the company at june 30, 2017, and the revenues and expenses for the month of june, its first month of operations: cash $4,960 notes payable $12,720 accounts receivable 4,340 accounts payable 840 service revenue 7,860 supplies expense 1,100 supplies 2,300 maintenance and repairs expense 700 advertising expense 400 utilities expense 200 equipment 26,360 salaries and wages expense 1,760 common stock 22,360 in june, the company issued no additional stock but paid dividends of $1,660. prepare an income statement for the month of june.

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.