The Ryan Express, provider of tax services, starts operations on 1/1/17. Now that the company has been in business for more than a year, the controller is assembling financial statements for the year ended 12/31/17. During 2017, the following transactions took place: Per
1. On January 1, 2017, shareholders paid $1,000,000 in cash for common stock.
2. Ryan Express earned revenue of $500,000 which increased Accounts Receivable (not cash).
3. Ryan Express paid $125,000 in salaries expense.
4. Ryan Express paid $75,000 in rent expense.
5. Ryan Express bought $25,000 of supplies but did not pay cash, so this increased Accounts Payable.
6. Ryan Express paid $10,000 in travel expense.
7. Clients paid Ryan Express cash of $400,000 for transaction #2, which reduced accounts receivable
8. Ryan Express paid shareholders a $190,000 cash dividend. Abc
Ryan Express Net Income for 2017 is

A $190,000.
B $265,000.
C $165,000.
D) $290,000

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.