When Zappos focused on aligning and maximizing customer service, distribution, product selection, and other key areas, they were focused on creating a strategy.

On january 1, vermont corporation had 40,000 shares of $10 par value common stock issued and outstanding. all 40,000 shares has been issued in a prior period at $20.00 per share. on february 1, vermont purchased 3,750 shares of treasury stock for $24 per share and later sold the treasury shares for $21 per share on march 1. the journal entry to record the purchase of the treasury shares on february 1 would include a credit to treasury stock for $90,000 debit to treasury stock for $90,000 credit to a gain account for $112,500 debit to a loss account for $112,500

Evan company reports net income of $232,000 each year and declares an annual cash dividend of $100,000. the company holds net assets of $2,130,000 on january 1, 2017. on that date, shalina purchases 40 percent of evan's outstanding common stock for $1,066,000, which gives it the ability to significantly influence evan. at the purchase date, the excess of shalina’s cost over its proportionate share of evan’s book value was assigned to goodwill. on december 31, 2019, what is the investment in evan company balance (equity method) in shalina’s financial records?

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.