Are they’re multiple answers choices or a open question
What Courtney is experiencing in the question is a process called service recovery.
It refers to a paradox where a customer will think highly of a company when the company has fixed the problem that the customer is facing from its service, compared to how the customer would perceive the company when it gives a non-faulty service.
Customer retention is mainly determined by how a company resolves a problem that a customer faces due to a faulty service or product.
Total debt ratio is the ratio of total debt to total assets
i.e
Total debt ratio = Total debt / Total assets
But Total assets is nothing but total equity plus total debt
Now let us consider,
TD = Total debt
TE = Total equity
TA= Total assets
Therefore,
Total debt ratio = TD/TA
But as mentioned above
TA = TD + TE
total debt ratio = Total debt/(total debt+total equity)
total debt ratio = .34(given)
.34 = TD / (TD + TE)
Solving this equation yields:
0.34 = 1/(1+ TE/TD)
0.34(1+TE/TD) = 1
0.34 + 0.34TE/TD =1
.34(TE/TD) = 1 - 0.34
0.34 (TE/TD) = 0.66
0.34TE = 0.66TD
Now, Debt equity ratio is the ratio of Total debt to total equity
Debt-equity ratio = TD / TE
Debt-equity ratio = 0.34 / 0.66
Debt-equity ratio = 0.51515152
Answer:
Digital Fruit
The expected market price of the common stock after the announcement is:
$20 per share.
Explanation:
Outstanding number of shares = 40 million
Market price of outstanding shares = $20 a share
Total market capitalization = $800 million
Debts introduced = $310 million
Market capitalization after the debt issue = $490 million ($800 - 310 million)
Number of shares bought back = $310 million /$20 = 15,500,000
Outstanding number of shares after the buy-back = 40 million minus 15.5 million
= 24,500,000 shares
Expected market price of the common stock after the announcement
= $490,000,000/24,500,000
= $20 per share
Answer:
Beta distribution
Explanation:
Beta distribution In probability theory
is regarded as a part of continuous probability distributions with a defined interval which could be 0 and 1, and it is characterized with two positive parameters (α and β) which is seen as
as exponents of the random variable .
It should be noted that Beta distribution probability is commonly used to model the inherent variability of activity time estimates in project management
