Answer:
Medicare
Explanation:
I think b because we can only get it free on very poor and undeveloped are but it cost high in developer area
Po = 0.5385, Lq = 0.0593 boats, Wq = 0.5930 minutes, W = 6.5930 minutes.
<u>Explanation:</u>
The problem is that of Multiple-server Queuing Model.
Number of servers, M = 2.
Arrival rate,
= 6 boats per hour.
Service rate,
= 10 boats per hour.
Probability of zero boats in the system,
= 0.5385
<u>Average number of boats waiting in line for service:</u>
Lq =![[\lambda.\mu.( \lambda / \mu )M / {(M – 1)! (M. \mu – \lambda )2}] x P0](https://tex.z-dn.net/?f=%5B%5Clambda.%5Cmu.%28%20%5Clambda%20%2F%20%5Cmu%20%29M%20%2F%20%7B%28M%20%E2%80%93%201%29%21%20%28M.%20%5Cmu%20%E2%80%93%20%5Clambda%20%292%7D%5D%20x%20P0)
=
= 0.0593 boats.
The average time a boat will spend waiting for service, Wq = 0.0593 divide by 6 = 0.009883 hours = 0.5930 minutes.
The average time a boat will spend at the dock, W = 0.009883 plus (1 divide 10) = 0.109883 hours = 6.5930 minutes.
Since the problem doesn’t give the choices for these questions. I will be giving you the factors that affect the elasticity:
1. Labor costs as percent of total costs – when labor expenses have a high share in total costs then labor demand is more elastic.
2. Easiness and cost of factor substitution – when the firm can substitute rapidly and effortlessly between labor and capital inputs.
3. Price elasticity of demand for the final output produced – if the business is working an extremely competitive market where the final demand of the product is elastic and as a result the demand for labor is more elastic.