Answer:
± 4.05
Explanation:
Data provided in the question:
Random sample size = 15
Standard deviation = 8
Confidence level = 95%
Now,
Margin of error is given as:
Margin of error = ± [ ( z × s ) ÷ √n ]
Here,
From standard z table for 95% confidence level z = 1.96
Margin of error = ± [ ( 1.96 × 8 ) ÷ √15 ]
or
Margin of error = ± [ 15.68 ÷ 3.873 ]
or
Margin of error = ± 4.05
Answer:
A. Check the Insurance and Liability section of your mutual aid agreement
Explanation:
Firstly, a mutual aid agreement is a documents that sets the rules or terms under which help or assistance can be provided between two parties, jurisdictions, NGO, etc.
From the above question, it is important that before any step is taken, it is important to check the insurance an liability section of the mutual aid agreement. This will help to ascertain if indeed you are responsible for the healthcare payment of the responders as claimed by the participating jurisdiction.
This helps to clarify who is responsible for the responders.
Cheers
Answer:
The answer is $0.12 gain
Explanation:
We will be obtaining the no-arbitrage premium of the corresponding put as dictated by put-call parity, as follows: V P (0, K = 70, T = 0.5) = V C (K = 70, T = 0.5) + e rt K S(0) + P V 0,T (Dividends)
= 6.50 + exponential (0.03 70 74.20) + e (0.06 0.25 1.10) + e (0.06 0.5 1.10)
= 67.70 + 0.97 70 + 0.98 1.10 + 0.97 1.10
= 67.70 + 68.97 + 1.08 = 2.38.
Since we have decided to short the call at a premium higher by $0.12, the answer is $0.12 gain.
Thank you.
Answer:
The correct answer is letter "D": Disrupt the employer's business while also preventing it from hiring strike replacements.
Explanation:
A strike or labor strike is the action by which workers of a given company stop or refuse continuing operations. This is mainly a form of protest against employers and demand better workplace conditions or improvements in the employees' payment structure. The purpose of the stoppage is to negatively affect the employer's revenue. Sometimes the strike turns aggressive in the way of employees occupying the workplace to avoid all operations to continue.