Answer:
A potential obligation that depends on a future event arising from a past transaction or event
Explanation:
A contingent liability is a potential obligation that depends on a future event arising from a past transaction or event.
Contingent liability are usually recorded in the financial statements if :
A. The contingency is likely to occur
B. The amount can be estimated.
I hope my answer helps you
Answer:
d. a copy of a receiving report is sent to the cashier
Explanation:
In the case of the horizontal flows with respect to the account payable or cash disbursements, it involved the invoice i.e. collected from the vendor, the voucher i.e. returned and the approved disbursement voucher is sent to the cashier but it does not involve the receiving report that sent to the cashier
Therefore the correct option is d.
I believe the correct answer is false. <span>An attractive business climate is not defined by only one dimension: it minimizes the political risk to a company. Other than this, there are other indicators present. Hope this answers the question. Have a nice day.</span>
Answer: continuance commitment
Explanation:
The above scenario explains a continuance commitment. This occurs when a worker remains with a particular organization after he or she looks at both the benefits and costs of leaving and sees that the cost of leaving the organization outweighs the benefits.
In this case, even though Matrice has had several recruiters offering interviews for possible positions at different companies, he believes that he should stay as a result of the medical insurance benefits that he gets. This is thus referred to as continuance commitment.
Answer:
Mary has increased her data literacy skills that now allow her to access, interpret, summarize, and communicate data more effectively.
Explanation:
Data analysis is the process by which data is transformed in such a way that useful information can be extracted from it. Data analysis is a key skill that is needed in most business nowadays, for example; financial data can be very crucial in the planning, budgeting and execution of projects. The process of data analysis has been automated to take raw data and produce a result that can be readily consumed easily by humans in the form of charts and graphs. From this end result, conclusions can be drawn by data experts on what the results mean.
Experts in data analysis are therefor needed to adequately access, interpret, summarize and communicate data more effectively. These are skills that need to be learned for better overall quality of the data presentation. In general, the principals are referred to as data literacy skills. Data literacy can be defined as the ability of an individual to extract useful information from raw data.
