Answer:
Identify the sequence of tasks that take the longest to complete
Explanation:
Program Evaluation and Review Technique (PERT) is a project management tool that is used to manage potential contingencies in the process of executing a project. It is used to schedule ,organize and coordinate tasks in a project.
Determining the critical path on a PERT network lists out the time required for different tasks to be completed and as a result , the sequence of tasks that require the longest time are identified.
The answer is B, Monopolies limit competition, which unbalance forces that rregulate the market system
Expansionary monetary policy shifts AD to the right.
<h3>
What is Expansionary monetary policy?</h3>
- Expansionary policy, often known as loose monetary policy, expands the availability of money and credit in order to stimulate economic growth.
- During difficult economic circumstances, a central bank may use expansionary monetary policy to reduce unemployment and stimulate growth.
<h3>Impacts on GDP, unemployment, and inflation by the increase of supply of money:</h3>
- The Federal Reserve begins to grow the money supply at an increasing rate.
- The impact on GDP, unemployment, and inflation would be significant.
- AD is shifted to the right by expansionary monetary policy.
Therefore, expansionary monetary policy shifts AD to the right.
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For this case we have an equation of the form:
![y = A * (b) ^ x ](https://tex.z-dn.net/?f=y%20%3D%20A%20%2A%20%28b%29%20%5E%20x%0A)
Where,
A: initial amount
b: growth rate
x: number of years
Substituting values we have:
![y = 30000 * (1,039) ^ x ](https://tex.z-dn.net/?f=y%20%3D%2030000%20%2A%20%281%2C039%29%20%5E%20x%0A)
By the time the earnings increase to 75000 we have:
![75000 = 30000 * (1,039) ^ x ](https://tex.z-dn.net/?f=75000%20%3D%2030000%20%2A%20%281%2C039%29%20%5E%20x%0A)
From here, we clear x:
Answer:
you will have to wait until 23.95 years your winnings are worth $ 75,000
Answer:
Sample size = 384.16 ≈ 385
If we increase the order size to 25,000, there will be no change in the sample size as sample size is independent of the number of orders
Explanation:
Data provided in the question:
Number of sales order received per day = 2500
Confidence level = 95%
Certainty factor for 95% certainty = 1.96
Now,
Sample size = ![0.25\times(\frac{\textup{Certainty factor}}{\textup{1 -Desired accuracy}})^2](https://tex.z-dn.net/?f=0.25%5Ctimes%28%5Cfrac%7B%5Ctextup%7BCertainty%20factor%7D%7D%7B%5Ctextup%7B1%20-Desired%20accuracy%7D%7D%29%5E2)
on substituting the respective values, we get
Sample size = ![0.25\times(\frac{\textup{1.96}}{\textup{1 - 0.95}})^2](https://tex.z-dn.net/?f=0.25%5Ctimes%28%5Cfrac%7B%5Ctextup%7B1.96%7D%7D%7B%5Ctextup%7B1%20-%200.95%7D%7D%29%5E2)
or
Sample size = 384.16 ≈ 385
If we increase the order size to 25,000, there will be no change in the sample size as sample size is independent of the number of orders