D. it can help u narrow down.......
It is a false statement that the stakeholders are individuals or companies that legally own a portion of the company and are not influenced by the actions of of that company.
<h3>Who are stakeholders?</h3>
These are investors that has a vested interest in a company and can either affect or be affected by a business' operations and performance. Some examples of a stakeholders includes investors, employees, customers, suppliers, communities, governments, trade associations etc.
However, It is a false statement that the stakeholders are individuals or companies that legally own a portion of the company and are not influenced by the actions of of that company.
Read more about stakeholders
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Answer:
70years
Explanation:
The future value formula for compound interest, after n interest period is
where i is the interest rate per period in decimal form and P is the principal or present value.
The Rodriquez family is determined to purchase a $250,000 home so
F=$ 250,000
The family plans to save $2,500 a quarter for this purpose and expects to earn 6.65 percent.
This implies that:
For t years, the number of compounding periods will be;
We fixed the values into the formula and solve for t.
It will take approximately 70years
Answer:
It is a relatively easy method to apply.
Explanation:
When accounting for a subsidiary, equity method is followed, whenever the shareholding percentage is equal or more than 20%.
But here, the parent company uses, initial value method for internal reporting.
Under initial value method the value of investment in subsidiary is recorded at cost, and then adjusted at year end at fair value, this clearly shows the gain or loss at each year end from such investment as per market norms.
There is no statutory requirement to follow such initial value method for internal reporting.
The correct reason therefore, is:
It is a relatively easy method to apply.
Answer:
Supervised and Unsupervised Learning:
a. Unsupervised learning
b. Supervised learning
3. Supervised learning
4. Unsupervised learning
Explanation:
The key difference between supervised machine learning and unsupervised machine learning is that with supervised machine learning there is a training dataset (labeled data) on which the algorithm is trained to predict patterns. With unsupervised machine learning on the other hand, there is no training data. So, the algorithm discovers patterns on itself without reference to another labeled data or training dataset.
