Answer:
Explanation:
Run A Duration B Duration C Duration 1 51 48 17 2 60 48 19 3 30 39 19 4 31 48 22 5 30 31 14 6 41 16 17 7 44 12 6 8 44 12 10 9 45 43 9 10 60 41 10 Based on the simulated numbers given above, what is the average completion time of the whole project?
Since B is the predecessor of C.
Project completion time for each run will be calculated as Maximum (Duration of A, Duration of B +Duration of C).
Represent
Run = R
Duration of A = DA
Duration of B = DB
Duration of C = DC
Project Completion time = PT
<u>R DA DB DC PT</u>
1 51 48 17 48 + 17 = 65
2 60 48 19 48 + 19 = 67
4 31 48 22 48 + 22 = 70
5 30 31 14 31 + 14 = 45
6 41 16 17 41
7 44 12 6 44
8 44 12 10 44
9 45 43 9 43 + 9 = 52
10 60 41 10 60
<u> Total = 546</u>
Total Project completion time in 10 Stimulations = 546
Average project Completion time = 546/10 = 54.6
Therefore, average Project completion time is between 53 and 56 days.
Answer: 
Explanation:
If r is the number of successes out of n trials , then the sample proportion of success = 
For binomial experiment , if the population probability of success p on a single trial is not given , then the best point estimate for probability of success p on a single trial is the sample proportion of successes.
i.e. a point estimate for the probability of success p on a single trial :
Hence, a point estimate for the probability of success p on a single trial =
Answer:please refer to the explanation section
Explanation:
The Question is incomplete. the question requires us to calculate minimum number of customers required to cover costs of promotions, to calculate the minimum number of customers required we need a price per customer. let us assume the price $6
Variable costs = $3.75
Fixed costs = $18000
Minimum Customers Required = Fixed costs/(Price - Variable cost)
Minimum Customers Required = 18000/6 - 3.75 = 8000
8000 customers are required
The answer would be that there are few other places to purchase soda on campus; competition (or lack thereof) can play a big factor in determining price elasticity.
While nutrition information can shift consumers' preferences, we have no indication within the question of whether or not the students are well-informed of the impact of their drinking choices.
As for the third option, we are not given any information on the students' budgets, and no information with which to infer this, either. We only have information on their spending as it is related to soda, not as compared to other purchases.
Finally, given that the quantity sold does not change much despite the change in price, we can conclude that this price curve is relatively inelastic, in which case the price elasticity of demand would be closer to zero than one. This effectively rules out the last answer.
