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Ryan terlecki organized a new internet company, capuniverse, inc. the company specializes in baseball-type caps with logos printed on them. ryan, who is never without a cap, believes that his target market is college and high school students. you have been hired to record the transactions occurring in the first two weeks of operations. issued 2,900 shares of $0.01 par value common stock to investors for cash at $29 per share. borrowed $68,000 from the bank to provide additional funding to begin operations; the note is due in two years. paid $1,000 for the current month's rent of a warehouse and another $1,000 for next month's rent. paid $1,440 for a one-year fire insurance policy on the warehouse (recorded as a prepaid expense). purchased furniture and fixtures for the warehouse for $16,000, paying $3,200 cash and the rest on account. the amount is due within 30 days. purchased for $2,800 cash the university of pennsylvania, notre dame, the university of texas at austin, and michigan state university baseball caps as inventory to sell online. placed advertisements on google for a total of $340 cash. sold caps totaling $1,900, half of which was charged on account. the cost of the caps sold was $1,100. (hint: make two entries.) made full payment for the furniture and fixtures purchased on account in (e). received $280 from a customer on account.

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.

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