Answer:
Notes Receivable for $1,000. Cash for $1,010. Interest Revenue for $5. Interest Receivable for $5.
Explanation:
The journal entry to record the receipt of the payment is shown below:
Cash Dr $1,010
To Interest receivable $5 ($1,000 ×6% × 30 days ÷ 360 days)
To Interest revenue $5
To Note receivable $1,000
(being the receipts is recorded)
here cash is debited as it increased the assets and credited the interest receivable, interest revenue and note receivable as it increased the assets and revenue accounts
Answer:
should specialize in the production of goods for which they have a lower opportunity cost of production than their trading partners
Explanation:
A country has comparative advantage in production if it produces at a lower opportunity cost when compared to other countries.
For example, country A produces 10kg of beans and 5kg of rice. Country B produces 5kg of beans and 10kg of rice.
for country A,
opportunity cost of producing beans = 5/10 = 0.5
opportunity cost of producing rice = 10/5 = 2
for country B,
opportunity cost of producing rice = 5/10 = 0.5
opportunity cost of producing beans = 10/5 = 2
Country A has a comparative advantage in the production of beans and country B has a comparative advantage in the production of rice
Country A should specialise in the production of beans and B should specialise in the production of rice
Answer:technological environment, economic and legal environment, competitive environment
Explanation:
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.
