Stormer company reports the following amounts on its statement of cash flow: net cash provided by operating activities was $28,000; net cash used in investing activities was $10,000 and net cash used in financing activities was $12,000. if the beginning cash balance is $5,000, what is the ending cash balance?
$55,000.
$45,000.
$31,000.
$6,000.
$11,000.

Which of the following is not a characteristic of enterprise applications that cause challenges in implementation? a. they introduce "switching costs," making the firm dependent on the vendor. b. they cause integration difficulties as every vendor uses different data and processes. c. they are complex and time consuming to implement. d. they support "best practices" for each business process and function. e. they require sweeping changes to business processes to work with the software.

Your team has identified the risks on the project and determined their risk score. the team is in the midst of determining what strategies to put in place should the risks occur. after some discussion, the team members have determined that the risk of losing their network administrator is a risk they'll just deal with if and when it occurs. although they think it's a possibility and the impact would be significant, they've decided to simply deal with it after the fact. which of the following is true regarding this question? a. this is a positive response strategy.b. this is a negative response strategy.c. this is a response strategy for either positive or negative risk known as contingency planning.d. this is a response strategy for either positive or negative risks known as passive acceptance.

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.