Answer:
A. 29.6%
Explanation:
Return on Equity is the times of profit a owner can earn on the equity investment in the business. Higher ratio shows the business is more profitable.
As per given data
Net Income = $36,610
Average Equity = $123650
Return on Equity ( ROE ) = Net Income / Equity Investment
Return on Equity ( ROE ) = $36,610 / $123650
Return on Equity ( ROE ) = 0.296
Return on Equity ( ROE ) = 29.6%
Answer:
<u>low opportunity cost</u>
Explanation:
<u>Opportunity cost</u> is described as a process in which an individual sacrifices something when they tend to choose one thing or option over another option or thing.
<u>Low opportunity cost: </u>The term "low opportunity cost" is determined as the possibility of an individual's chosen investment returns to be lower than the forgone investment's returns.
Answer:
B. Review recorded graphs and individual data points
C. Make their data audible
D. Share and export experiments and sensor recordings
Explanation:
The Science Journal application refers to the scientific journal at the digital platform that helps users to record projects using pictures, notes, and built-in sensors from the phone of the user. While setting up a new experiment it provides the opportunity to document one's thoughts and findings as he or she begins to ask queries and to come up with their own investigations. Its user-friendly features use sensors and recorders of telephones in an efficient way.
The question is about Audit procedures of inventory that differ if
The Inventory is in small number
- Complete inventory can be counted.
- The inventory is different type of boats each boats market price can be checked separately.
- Floor to record and record to floor can both be tested appropriately.
The Inventory is in large number
- Sample based count.
- The inventory is different type of boats each boats market price can not be checked separately, instead again a sample of inventory will be checked.
- Floor to record and record to floor can be tested on a sample basis.
Learn more at brainly.com/question/25759232
This is known as in-sample forecast. It estimated the model using all available data and then comparing it to the model's fixed values to the actual realizations. But, this method is known to attract an overly positive picture of the model's forecasting ability since common fitting algorithms tend to take pains to avoid big prediction errors and are also inclined to overfitting (mistaking noise for signal in the data).
